{"id":"W2550222929","doi":"10.71781/24338","title":"Les déterminants des bonis au mérite : cas d'une institution financière","year":2004,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Institution; Rite; Art; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002987048,0.0002212218,0.0006693319,0.00180172,0.001925708,0.00553951,0.0007852236,0.001121574,0.01638152],"category_scores_gemma":[0.01866254,0.0002443348,0.0003579635,0.002489499,0.001577514,0.001912224,0.001116503,0.001257363,0.0004957242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01365648,"about_ca_system_score_gemma":0.01055141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6349167,"about_ca_topic_score_gemma":0.7080083,"domain_scores_codex":[0.9984946,0.0003645496,0.00005217753,0.0001463507,0.0003678719,0.0005744382],"domain_scores_gemma":[0.9846315,0.006659986,0.00361968,0.0003936888,0.002407296,0.002287875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005395899,0.0002347877,0.6909496,0.0001839533,0.000344425,0.0006329093,0.003566899,0.01101873,0.001015582,0.2318822,0.01424315,0.04538822],"study_design_scores_gemma":[0.0001123382,0.0001009534,0.9342023,0.0002045024,0.0002527619,0.0001733128,0.002894223,0.0110909,0.0006860908,0.02902782,0.02119394,0.00006091202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385526,0.002212566,0.002705773,0.009616768,0.00003668267,0.0000412297,0.001231018,0.00008733316,0.0455161],"genre_scores_gemma":[0.9917943,0.0003449449,0.0003547237,0.00007863865,0.00002250443,0.000009441782,0.0001505832,0.000009830192,0.007235042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6349167,"threshold_uncertainty_score":0.7344668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08872590752219134,"score_gpt":0.4118074078064184,"score_spread":0.3230815002842271,"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."}}