{"id":"W4391504825","doi":"","title":"Relire le Coran avec Mohammed Arkoun","year":2018,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Association for Canadian and Québec Literatures","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003994522,0.001295117,0.001230912,0.001274603,0.005944639,0.007560306,0.0008789192,0.004376424,0.03290742],"category_scores_gemma":[0.01612439,0.0002972432,0.0004756532,0.0005780355,0.002976413,0.003798342,0.003169326,0.007733097,0.01488925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003304793,"about_ca_system_score_gemma":0.003680738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009554195,"about_ca_topic_score_gemma":0.008458375,"domain_scores_codex":[0.9959244,0.001540351,0.0001315367,0.0005160205,0.001554854,0.0003329049],"domain_scores_gemma":[0.9923211,0.00175764,0.0003388108,0.0001620821,0.00412344,0.001296927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006219106,0.00002683865,0.0004488051,0.0001775452,0.00001513611,0.0004556889,0.002193747,0.0001017267,0.0003292927,0.01805106,0.9519668,0.02617116],"study_design_scores_gemma":[0.000005398195,0.00001080755,0.0003977431,0.0001611384,0.000005342814,0.000543612,0.002605757,0.0000706791,0.0001538311,0.001568169,0.9944584,0.00001918096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002993134,0.07654661,0.00117778,0.7117425,0.1640798,0.00002662287,0.0001471613,0.0001331813,0.0431533],"genre_scores_gemma":[0.1016033,0.04955585,0.001367385,0.2404136,0.1093019,0.0001149484,0.0001955045,0.0006106174,0.496837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03290742,"threshold_uncertainty_score":0.1100863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05555558894417801,"score_gpt":0.3178412301592023,"score_spread":0.2622856412150243,"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."}}