{"id":"W2024945203","doi":"10.7202/050394ar","title":"Operative and Espoused Personnel Selection Criteria of Managers","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Test (biology); Personnel selection; Projective test; Psychology; Operations management; Measure (data warehouse); Business; Computer science; Statistics; Engineering; Mathematics; Data mining; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01083473,0.0002714013,0.0001649743,0.002023273,0.001067188,0.001345159,0.0004953853,0.0003562864,0.001711149],"category_scores_gemma":[0.07382937,0.0001786191,0.000161356,0.0007791801,0.001399802,0.0007678864,0.001346219,0.0007256171,0.000266077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000704314,"about_ca_system_score_gemma":0.00142131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009127141,"about_ca_topic_score_gemma":0.001559894,"domain_scores_codex":[0.988096,0.005789514,0.0009046487,0.0004519352,0.003565548,0.001192357],"domain_scores_gemma":[0.9444636,0.02371331,0.0133854,0.002398769,0.01144632,0.004592724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004535016,0.0003875211,0.7559364,0.0002183231,0.0000525375,0.0006975946,0.04440063,0.0008757384,0.01468741,0.008900414,0.0008149479,0.1725751],"study_design_scores_gemma":[0.00006275763,0.001364173,0.9498823,0.0001470955,0.00002667578,0.001054242,0.02582295,0.002897695,0.004011942,0.006305976,0.008330135,0.00009413761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864167,0.00008121094,0.003968846,0.0002472551,0.00002437171,0.00008230728,0.00001925031,0.00001302119,0.009147124],"genre_scores_gemma":[0.9981911,0.0000200623,0.001241767,0.00003125284,0.00001303778,0.00002574866,0.0000168367,0.000003390547,0.0004568382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01083473,"threshold_uncertainty_score":0.05730027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02549256952192316,"score_gpt":0.2591452063923172,"score_spread":0.233652636870394,"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."}}