{"slug":"openmatter-network-ai-predictor-theoretical-basis","source_name":"openmatter-network/ai-predictor-theoretical-basis","name":"Openmatter Network/AI Predictor Theoretical Basis","description":"Use when an AI/ML selection tool uses predictors with no clear theoretical or job-analytic rationale — scraped data (resumes, social media, emails, the Internet), voice/facial features, or opaque big-data correlations. Covers the debate over whether predictors need a theoretical basis, proxy-variable risk (e.g., ZIP code for race), and how the presence or absence of adverse impact changes the analysis. Maps to Concern 1 of Tippins, Oswald & McPhail (2021). Triggers: \"atheoretical predictors\", \"s","version":1,"lift":{"pass_rate_delta_pts":4.55,"pass_rate_pct":95.5,"total_cases":22,"passed_cases":21,"tokens_delta_pct":59.1,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-03T14:02:21.201234+00:00"},"skill_score":0.9545,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":4.55,"with_pass_pct":95.5,"without_pass_pct":90.9,"tokens_delta_pct":59.1,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":true,"completed_at":"2026-08-03T14:02:21.201234+00:00","run_id":"b1a4cd7d-8336-4a9d-968c-49b124784b45","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"2170133951c36de8a12f682822a8c810d8806490d268fe8a30dc3704a11c042c","raw_url":"https://app.decimal.ai/s/openmatter-network-ai-predictor-theoretical-basis/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/openmatter-network-ai-predictor-theoretical-basis"}