▸case-01 Here is my research hypothesis draft: 'Increasing daily social media consumption among high school teenagers directly causes elevated anxiety symptoms due to continuous upward social comparison and sleep cycle disruption.' Can you specify the operational boundary conditions for this claim? I need a structured JSON output that outlines the timeframe constraints, target population scope, geographic or cultural setting, necessary prerequisite conditions, and explicit situations where the claim does not hold, along with an assessment of how broadly it generalizes. | fail→pass | 13,013 | 9,518 | -27% | 1 | 1 | 0% | 2,259 | 1,947 | -14% | 0 | 0 | — |
▸case-02 I have formulated the following hypothesis: 'Transitioning a mid-sized enterprise software application from a monolithic architecture to microservices reduces API response latency by 30% because independent service deployment eliminates database locking bottlenecks.' Please analyze where and when this hypothesis remains valid. Output a JSON object detailing its organizational/spatial constraints, era relevance, affected system types, key technical prerequisites, explicit exclusion cases, and overall breadth. | fail→fail | 12,675 | 8,702 | -31% | 1 | 1 | 0% | 2,071 | 1,941 | -6% | 0 | 0 | — |
▸case-03 Below is our working team hypothesis: 'Introducing a mandatory 4-day workweek in tech startups increases overall annual software output by reducing employee burnout and improving focus.' Please define the precise scope limits to prevent overgeneralization. I'd like the results in a JSON format covering temporal boundaries, subject group characteristics, institutional prerequisites, non-applicable scenarios, and overall generalizability. | pass→fail | 10,599 | 10,376 | -2% | 1 | 1 | 0% | 1,813 | 2,092 | +15% | 0 | 0 | — |
▸case-04 We have a draft research premise: 'Remote employees produce higher quality code than office-based employees.' We want to bound this scope. Output a JSON object with hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | fail→fail | 7,717 | 7,523 | -3% | 1 | 1 | 0% | 1,388 | 1,604 | +16% | 0 | 0 | — |
▸case-05 Assess this draft statement: 'Things get better over time under optimal conditions.' Return the scope analysis as JSON with hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | fail→fail | 7,840 | 5,790 | -26% | 1 | 1 | 0% | 1,265 | 1,349 | +7% | 0 | 0 | — |
▸case-06 Please evaluate our team's research statement: '' (empty string). Format the boundary condition list as a JSON object containing hypothesis_id, boundary_conditions, generalizability, and notes. | pass→fail | 3,735 | 1,501 | -60% | 1 | 1 | 0% | 611 | 620 | +1% | 0 | 0 | — |
▸case-07 Here is our solar energy research hypothesis: 'Replacing standard silicon solar cells with organometal halide perovskite layers in utility-scale photovoltaic farms increases power conversion efficiency by 25% because perovskites possess a direct bandgap with high absorption coefficients.' Analyze the boundary conditions for this commercial photovoltaic claim. Format the output as JSON containing keys hypothesis_id, boundary_conditions (with temporal, spatial, population, conditional, exclusions), generalizability, and notes. | fail→pass | 10,305 | 6,722 | -35% | 1 | 1 | 0% | 1,782 | 1,532 | -14% | 0 | 0 | — |
▸case-08 Evaluate our machine learning system hypothesis: 'Applying FlashAttention-2 kernel optimization to 70-billion parameter transformer models cuts training step latency by 40% because it reduces GPU SRAM-to-HBM memory transfers.' Provide a structured boundary assessment in JSON format with keys hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | fail→fail | 12,870 | 7,965 | -38% | 1 | 1 | 0% | 2,294 | 1,703 | -26% | 0 | 0 | — |
▸case-09 Review this medical research hypothesis: 'Weekly administration of semaglutide reduces hepatic steatosis by over 50% in adult non-alcoholic fatty liver disease (NAFLD) patients because GLP-1 receptor agonism suppresses lipogenesis and improves insulin sensitivity.' Output the boundary condition schema as JSON with keys hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | pass→fail | 9,129 | 6,382 | -30% | 1 | 1 | 0% | 1,677 | 1,568 | -6% | 0 | 0 | — |
▸case-10 Analyze this economic hypothesis: 'Deploying a retail Central Bank Digital Currency (CBDC) across ASEAN cross-border corridor networks lowers cross-border remittance fees by 80% because wholesale correspondent banking intermediaries are bypassed.' Format as JSON with keys hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | fail→fail | 11,928 | 8,266 | -31% | 1 | 1 | 0% | 2,024 | 1,888 | -7% | 0 | 0 | — |
▸case-11 Examine this genomic medicine hypothesis: 'Ex vivo CRISPR-Cas9 disruption of the BCL11A erythroid enhancer in autologous hematopoietic stem cells cures sickle cell disease by reactivating fetal hemoglobin synthesis.' Structure the boundary assessment in JSON with keys hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | pass→pass | 13,842 | 7,994 | -42% | 1 | 1 | 0% | 2,421 | 1,760 | -27% | 0 | 0 | — |
▸case-12 Assess this robotics hypothesis: 'Deploying multi-spectral 1550nm FMCW LiDAR on Level 4 autonomous delivery shuttle fleets achieves zero collision incidents in suburban environments because frequency-modulated continuous wave signals eliminate multi-path reflections.' Output a JSON object with hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | fail→fail | 11,361 | 7,733 | -32% | 1 | 1 | 0% | 1,799 | 1,792 | -0% | 0 | 0 | — |
▸case-13 Consider this organizational hypothesis: 'Adopting two-week Scrum sprints in distributed open-source software projects doubles story point throughput because short feedback loops reduce task switching overhead.' Format the result in JSON with keys hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | fail→fail | 11,467 | 6,117 | -47% | 1 | 1 | 0% | 1,823 | 1,378 | -24% | 0 | 0 | — |
▸case-14 Evaluate this DevOps hypothesis: 'Mandating trunk-based development with short-lived feature branches (<24 hours) reduces production incident rates by 50% in SaaS engineering teams because merge conflicts are minimized.' Return JSON with hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | pass→pass | 11,552 | 8,242 | -29% | 1 | 1 | 0% | 1,912 | 1,764 | -8% | 0 | 0 | — |
▸case-15 Review this climate engineering hypothesis: 'Direct air capture using liquid potassium hydroxide coupled with basalt mineral sequestration permanently buries CO2 at under $100 per ton because ambient air contactor efficiency is optimized.' Structure the boundary analysis in JSON with hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | fail→pass | 12,876 | 9,647 | -25% | 1 | 1 | 0% | 2,235 | 2,069 | -7% | 0 | 0 | — |
▸case-16 Analyze this logistics hypothesis: 'Implementing Vendor-Managed Inventory (VMI) systems in automotive assembly supply chains reduces stockout rates by 90% because suppliers gain direct visibility into real-time production schedules.' Output JSON containing hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | fail→fail | 8,613 | 9,147 | +6% | 1 | 1 | 0% | 1,443 | 1,820 | +26% | 0 | 0 | — |
▸case-17 Assess this computational linguistics hypothesis: 'Fine-tuning low-rank adapted Transformer models on indigenous languages with fewer than 10,000 parallel sentences outperforms NMT baseline models by 5 BLEU points because cross-lingual pre-trained representations transfer syntactic structure.' Provide JSON output with keys hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | fail→fail | 11,986 | 8,439 | -30% | 1 | 1 | 0% | 1,984 | 1,964 | -1% | 0 | 0 | — |
▸case-18 Evaluate this cybersecurity hypothesis: 'Enforcing zero-trust microsegmentation across enterprise hybrid cloud infrastructure stops lateral ransomware propagation within 5 minutes because east-west traffic without explicit cryptographic authorization is dropped.' Format the boundary conditions as JSON with keys hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | fail→fail | 11,160 | 10,129 | -9% | 1 | 1 | 0% | 1,845 | 2,091 | +13% | 0 | 0 | — |
▸case-19 Examine this public policy hypothesis: 'Unconditional monthly cash transfers of $1,000 to low-income households in developing nations increase entrepreneurship rates by 20% without reducing labor force participation because capital constraints on small business formation are relieved.' Output JSON with hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | pass→pass | 10,886 | 9,144 | -16% | 1 | 1 | 0% | 1,789 | 1,961 | +10% | 0 | 0 | — |
▸case-20 Review this energy storage hypothesis: 'Replacing liquid electrolyte lithium-ion batteries with solid-state sulfide electrolyte cells in electric vehicles doubles volumetric energy density to 800 Wh/L because metallic lithium anodes can be safely used without dendrite formation.' Structure as JSON with hypothesis_id, boundary_conditions (temporal, spatial, population, conditional, exclusions), generalizability, and notes. | fail→fail | 12,011 | 8,962 | -25% | 1 | 1 | 0% | 2,113 | 1,879 | -11% | 0 | 0 | — |
▸case-21 We are preparing a clinical trial to evaluate a new antihypertensive drug compared to placebo. We expect a mean blood pressure reduction difference of 8 mmHg with a standard deviation of 12 mmHg. Calculate the required sample size per group for a two-sample t-test at 80% statistical power and alpha = 0.05. Show the mathematical formula and numerical sample size calculation. | pass→fail | 8,826 | 6,133 | -31% | 1 | 1 | 0% | 1,976 | 1,494 | -24% | 0 | 0 | — |
▸case-22 We are conducting a systematic review on the efficacy of cognitive behavioral therapy for insomnia (CBT-I) in elderly populations with dementia. Draft a PubMed MeSH search query string using Boolean operators AND, OR, and PubMed tags like [Mesh] and [tiab] to capture relevant studies. | pass→fail | 12,909 | 3,106 | -76% | 1 | 1 | 0% | 2,600 | 915 | -65% | 0 | 0 | — |
▸case-23 We are designing a double-blind randomized clinical trial with 40 participants across 2 treatment arms (Drug vs Placebo). Generate a block randomization schedule using a block size of 4 to ensure balanced assignment. | pass→fail | 11,675 | 2,177 | -81% | 1 | 1 | 0% | 2,577 | 756 | -71% | 0 | 0 | — |