{"id":"W2129994497","doi":"10.1111/j.1754-9434.2010.01245.x","title":"Validation Is Like Motor Oil: Synthetic Is Better","year":2010,"lang":"en","type":"article","venue":"Industrial and Organizational Psychology","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Component (thermodynamics); Synthetic data; Model validation; Data validation; Data science; Management science; Artificial intelligence; Engineering; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1481007,0.001679174,0.002401864,0.008439065,0.003296764,0.01428722,0.003435039,0.002403492,0.01448936],"category_scores_gemma":[0.4890127,0.001040824,0.002149701,0.007518814,0.01046343,0.02163434,0.006997361,0.006455053,0.002438958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003784048,"about_ca_system_score_gemma":0.006121153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004994364,"about_ca_topic_score_gemma":0.004307033,"domain_scores_codex":[0.839026,0.1204017,0.01104148,0.009944432,0.01814867,0.001437761],"domain_scores_gemma":[0.4543398,0.3317536,0.03619263,0.1203824,0.05461615,0.002715404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001108461,0.0005365511,0.06662494,0.002821801,0.001468497,0.0003497009,0.01069433,0.01795456,0.00180854,0.5793496,0.03853793,0.2787451],"study_design_scores_gemma":[0.0002300092,0.0008264951,0.03171296,0.003784845,0.0004191866,0.0006332415,0.008121554,0.05355802,0.003594286,0.7527259,0.1440174,0.0003759876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09657038,0.003814069,0.7724792,0.03613826,0.003255071,0.001303283,0.004663799,0.001866337,0.07990956],"genre_scores_gemma":[0.6828216,0.00149281,0.2947184,0.009265495,0.0009893548,0.001740339,0.004252385,0.0008877983,0.003831823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1481007,"threshold_uncertainty_score":0.7832407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062768051928473,"score_gpt":0.4537590553067143,"score_spread":0.347482250113867,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}