{"id":"W2013920467","doi":"10.3917/riges.363.0061","title":"Démystifier les inventaires de personnalité","year":2011,"lang":"fr","type":"article","venue":"Gestion","topic":"Competency Development and Evaluation","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Psychology; Art","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007791608,0.0001360514,0.0001093381,0.00009582443,0.0001319691,0.00001745651,0.0001050874,0.0002531054,0.01500389],"category_scores_gemma":[0.0001030329,0.0001546652,0.00006270356,0.0001326559,0.00009093156,0.0001126438,0.00002439562,0.0001989894,0.002417437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001470399,"about_ca_system_score_gemma":0.00008852663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002500699,"about_ca_topic_score_gemma":0.000237524,"domain_scores_codex":[0.9986797,0.0003942168,0.0002198605,0.0002415926,0.0001447494,0.0003198873],"domain_scores_gemma":[0.9995412,0.00005059507,0.00008278794,0.0001731897,0.00007164757,0.00008052966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001731856,0.0003771037,0.1958125,0.00009377901,0.0001140038,0.00003818134,0.06583087,0.00001078847,0.0008616715,0.05905979,0.03668286,0.6409453],"study_design_scores_gemma":[0.0004922854,0.0001256695,0.9173543,0.0001807427,0.000104134,0.00005843054,0.001758691,0.0005307455,0.0004681207,0.01428496,0.06440616,0.0002356893],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8844751,0.006096968,0.00474108,0.01520269,0.005123194,0.0002665807,0.000007488108,0.00009180591,0.0839951],"genre_scores_gemma":[0.9405119,0.0001331537,0.002451537,0.0002170664,0.0003804264,0.00003385747,0.00003129124,0.00001914081,0.05622161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7215419,"threshold_uncertainty_score":0.9983593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1610020926809019,"score_gpt":0.344646878020143,"score_spread":0.1836447853392411,"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."}}