{"id":"W2258718344","doi":"10.7202/1092914ar","title":"LES PHÉNOMÈNES DE CONVERGENCE SECTORIELLE EXPLIQUÉS PAR LA THÉORIE DES RESSOURCES : APPLICATION À L’ANALYSE DE LA BANCASSURANCE EN FRANCE","year":2003,"lang":"fr","type":"article","venue":"Assurances et gestion des risques","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005512023,0.0004879442,0.0006958504,0.0002441466,0.0007461643,0.0003333902,0.0005062378,0.0006524095,0.0003794584],"category_scores_gemma":[0.002394459,0.0006189037,0.0002472081,0.001052071,0.001777065,0.001012122,0.00003848433,0.0005750437,0.0000798441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005880221,"about_ca_system_score_gemma":0.0001407649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002941667,"about_ca_topic_score_gemma":0.0006011593,"domain_scores_codex":[0.9952969,0.001668568,0.001055002,0.001005504,0.0001756607,0.0007983405],"domain_scores_gemma":[0.9955456,0.002552724,0.0007753944,0.0006898961,0.000270185,0.0001661693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002922515,0.0003021517,0.8114876,0.0004039987,0.00009874025,0.000005450253,0.007885978,0.05544281,0.0002434199,0.09815006,0.0001780529,0.02577249],"study_design_scores_gemma":[0.0004686865,0.00008680813,0.7507047,0.0003288481,0.00006335663,0.00004720357,0.00047292,0.02607783,0.00430171,0.1388166,0.07793053,0.0007007673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7860752,0.06533208,0.1243694,0.001972617,0.0005338214,0.0003879399,0.0001419567,0.0001821518,0.0210048],"genre_scores_gemma":[0.9632595,0.02044128,0.01419438,0.00006016969,0.0001909024,0.0002135301,0.00001876657,0.00007368004,0.001547775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1771843,"threshold_uncertainty_score":0.9996262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121616383880504,"score_gpt":0.2703144984365672,"score_spread":0.2490983345977622,"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."}}