{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001491471,0.00008627644,0.00009905767,0.000222893,0.0002146208,0.00008362906,0.00005127132,0.00008370453,0.0007013058],"category_scores_gemma":[0.00006971514,0.00008644223,0.00002605048,0.0003874398,0.00004628813,0.0006289093,0.00003794644,0.0001358793,0.00003205704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001524923,"about_ca_system_score_gemma":0.00001619108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002217493,"about_ca_topic_score_gemma":0.00006827037,"domain_scores_codex":[0.9995085,0.00001113806,0.0001636219,0.000132397,0.00008219452,0.0001021295],"domain_scores_gemma":[0.9997116,0.00005059371,0.00008110798,0.00007214566,0.00007691116,0.00000762021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001052361,0.0001992316,0.6118409,0.00003428923,0.000119191,0.000003763766,0.003045358,0.0009381534,0.006633315,0.01674955,0.01770396,0.342627],"study_design_scores_gemma":[0.003136632,0.00004458937,0.4497734,0.0002682481,0.0007685389,0.00001760284,0.01675997,0.08783266,0.002204329,0.0004761638,0.4375934,0.001124389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788941,0.0001338702,0.0003770636,0.001094486,0.0000631179,0.0001403815,0.000001887238,0.00005403087,0.01924111],"genre_scores_gemma":[0.9978126,0.00001050571,0.0004114191,0.00009990721,0.0001955837,0.000006332967,0.000008944821,0.00001045002,0.001444312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4198895,"threshold_uncertainty_score":0.7678807,"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."}}