{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05147348,0.0004623836,0.0005942709,0.002617752,0.001073024,0.002604977,0.000658806,0.001345644,0.001483867],"category_scores_gemma":[0.3226329,0.000339468,0.0007124891,0.001581068,0.005019118,0.001907033,0.002028852,0.001501653,0.0002182344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518083,"about_ca_system_score_gemma":0.0007529473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034049,"about_ca_topic_score_gemma":0.001224171,"domain_scores_codex":[0.9552551,0.02944196,0.003045281,0.002301401,0.008767296,0.001189072],"domain_scores_gemma":[0.3185155,0.5530015,0.08838843,0.02606334,0.01037326,0.003657948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009133741,0.0003032384,0.9637775,0.00008930977,0.0002532444,0.0001222055,0.001026796,0.002288409,0.001876619,0.002948246,0.0001422892,0.02625874],"study_design_scores_gemma":[0.00003866554,0.0007698228,0.9773112,0.00004436,0.00007605791,0.0005426087,0.0004100806,0.01024769,0.002171661,0.007984115,0.0003399242,0.00006378276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907032,0.0004414157,0.005101928,0.0002771324,0.00001704265,0.00008573983,0.00007262121,0.00001484919,0.003285988],"genre_scores_gemma":[0.9985539,0.00003967546,0.00120064,0.000020846,0.000008904052,0.00001582876,0.00003395626,0.000005528563,0.0001205953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05147348,"threshold_uncertainty_score":0.272221,"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."}}