{"id":"W2168676214","doi":"","title":"Relationships between faking, validity, and decision criteria in personnel selection.","year":2006,"lang":"en","type":"article","venue":"Psychology science","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Psychology; Variance (accounting); Incremental validity; Criterion validity; Set (abstract data type); Selection (genetic algorithm); Personnel selection; Test (biology); External validity; Personality; Social psychology; Predictive validity; Affect (linguistics); Test validity; Construct validity; Psychometrics; Statistics; Computer science; Artificial intelligence; Clinical psychology; Economics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002713722,0.0001923136,0.0002584281,0.0006549326,0.0005062933,0.00007412785,0.0004601705,0.0002918023,0.0007900913],"category_scores_gemma":[0.0001357087,0.00019052,0.00004375077,0.001362749,0.001231518,0.0002754788,0.00005829198,0.0005791258,0.0002265547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005224327,"about_ca_system_score_gemma":0.00003822041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00041485,"about_ca_topic_score_gemma":0.0004241031,"domain_scores_codex":[0.9973316,0.0003051573,0.0004236778,0.001019296,0.000255154,0.000665095],"domain_scores_gemma":[0.9989008,0.0003984318,0.0001162914,0.0003674821,0.00007552023,0.0001415012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005056525,0.0001619303,0.9705114,0.000002473785,0.000004604966,0.00001442237,0.00191808,0.000002155177,0.001216555,0.01232959,0.00612005,0.007668157],"study_design_scores_gemma":[0.0008588881,0.0001267163,0.9642085,0.00001137586,0.000008940532,0.0001800247,0.0003012898,0.00004246657,0.000009168254,0.02910511,0.004947115,0.0002003399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480969,0.0001737828,0.005099969,0.001446059,0.001125439,0.0001659551,0.00001427688,0.00007223382,0.04380542],"genre_scores_gemma":[0.9939169,0.000006682119,0.00470458,0.0007398348,0.0002926643,0.000025932,0.000005901045,0.00001476981,0.0002927356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04582004,"threshold_uncertainty_score":0.8650945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1412012285280303,"score_gpt":0.4317358801480881,"score_spread":0.2905346516200578,"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."}}