{"id":"W4405531468","doi":"10.4000/12yey","title":"Intersectionnalité, diversité capacitaire et diversité ethnoculturelle","year":2024,"lang":"fr","type":"article","venue":"Communication","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Geography; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008350521,0.0005337879,0.0005436401,0.004152999,0.007662495,0.01350617,0.0009649001,0.001305704,0.005935231],"category_scores_gemma":[0.01028719,0.0002988777,0.0003282474,0.004035963,0.02776885,0.008460366,0.01077443,0.002093085,0.0002742475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004401515,"about_ca_system_score_gemma":0.003592802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009943997,"about_ca_topic_score_gemma":0.01238656,"domain_scores_codex":[0.9854451,0.01033927,0.0003354981,0.0009183582,0.002099935,0.000861846],"domain_scores_gemma":[0.9903265,0.006569547,0.001108921,0.0008687509,0.0007238462,0.0004025475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003033423,0.00003714817,0.01181074,0.0001873443,0.00002650397,0.0002806678,0.7473143,0.0001192768,0.0004476096,0.2071743,0.0007629468,0.03180886],"study_design_scores_gemma":[0.000006457657,0.00005475244,0.02177571,0.0005587129,0.00002119645,0.000839298,0.8288894,0.0003382347,0.0005650413,0.05299361,0.0939174,0.00004027013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6720287,0.01069989,0.01788897,0.01133423,0.0003223037,0.0001008253,0.00008572153,0.00003996772,0.2874994],"genre_scores_gemma":[0.9913662,0.001738516,0.001325841,0.0003104397,0.0000691093,0.00007135477,0.00002169571,0.00001462927,0.005082216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01350617,"threshold_uncertainty_score":0.04416233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2276800157750069,"score_gpt":0.4425840271117901,"score_spread":0.2149040113367831,"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."}}