{"id":"W1671857242","doi":"10.7202/1025087ar","title":"Le capital humain des femmes récemment nommées dans les conseils d’administration des sociétés françaises cotées à Paris","year":2014,"lang":"fr","type":"article","venue":"Management international","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Promulgation; Art; Law","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":[0.001089554,0.0001724637,0.0002091252,0.001783614,0.002578626,0.001820574,0.0002237811,0.0002983234,0.006526078],"category_scores_gemma":[0.002026609,0.000109049,0.0001054856,0.001666241,0.001246399,0.0005542376,0.00102722,0.0003377411,0.0003652955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003741958,"about_ca_system_score_gemma":0.002210344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1917345,"about_ca_topic_score_gemma":0.3237467,"domain_scores_codex":[0.9992003,0.0002424589,0.000018433,0.00007634803,0.00012717,0.0003352707],"domain_scores_gemma":[0.9988179,0.0002435252,0.0003198738,0.00005407439,0.000189936,0.0003747712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002528424,0.00008121774,0.7947236,0.00007872088,0.0000630011,0.0006123249,0.1072467,0.000484163,0.001454856,0.0197953,0.004179834,0.07102741],"study_design_scores_gemma":[0.000005085345,0.00006559913,0.9408121,0.00005657965,0.00001302888,0.00009171426,0.03919129,0.0001351317,0.000251615,0.0004495212,0.0189131,0.00001523823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929394,0.0002379431,0.0001107498,0.0003498087,0.000007142245,0.000004527448,0.0001117527,0.000002955984,0.006235738],"genre_scores_gemma":[0.9940267,0.0001514514,0.00007416349,0.00003786662,0.000005437606,0.000005408561,0.00004163759,0.000001843877,0.005655485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1917345,"threshold_uncertainty_score":0.3812369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1541379526532684,"score_gpt":0.344370193557911,"score_spread":0.1902322409046427,"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."}}