{"id":"W3042429215","doi":"10.7202/1070349ar","title":"Formation à l’égalité femmes-hommes par le théâtre d’entreprise : une analyse de saynètes","year":2020,"lang":"fr","type":"preprint","venue":"Relations industrielles","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003529753,0.0004728425,0.0004184659,0.002512063,0.008770349,0.006645625,0.0008796733,0.001207275,0.01338726],"category_scores_gemma":[0.007361901,0.0004183504,0.0003679868,0.003418655,0.008027878,0.006029966,0.005447257,0.001597999,0.001099736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005833412,"about_ca_system_score_gemma":0.00483929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0294286,"about_ca_topic_score_gemma":0.06168402,"domain_scores_codex":[0.9961922,0.00191636,0.0001793636,0.0004356139,0.0007606619,0.0005158463],"domain_scores_gemma":[0.9951968,0.002496217,0.0006562155,0.0003052818,0.000908178,0.000437452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000440612,0.00002774012,0.0120442,0.0001803553,0.000008928802,0.0005006756,0.9270097,0.00006137475,0.0007534791,0.04016133,0.0008610157,0.01834706],"study_design_scores_gemma":[0.00000130292,0.00001691988,0.01074482,0.0001667196,0.000006121889,0.0002143418,0.9456642,0.00006188316,0.0003019088,0.00193316,0.04087561,0.000013041],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161289,0.001035721,0.003812337,0.001496528,0.0001170699,0.0001444561,0.0001630966,0.00001815646,0.07708385],"genre_scores_gemma":[0.9678538,0.0008622018,0.002249995,0.0002706916,0.00001943758,0.0001469628,0.0001320343,0.00003497403,0.02842988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0294286,"threshold_uncertainty_score":0.0585146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2532012772619657,"score_gpt":0.4101918155571808,"score_spread":0.156990538295215,"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."}}