{"id":"W4392929523","doi":"","title":"Discriminations ethniques et sentiment d’injustice","year":2014,"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":"Centre Hospitalier Universitaire de Sherbrooke","funders":"","keywords":"Computer science; Injustice; Artificial intelligence; Political 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":[0.002972697,0.0003077302,0.0003058783,0.001982572,0.005106302,0.004637378,0.0003183378,0.00185489,0.005323841],"category_scores_gemma":[0.01065598,0.0001772927,0.0001744848,0.001968889,0.008242702,0.002430608,0.002955616,0.002974812,0.0002834925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002779743,"about_ca_system_score_gemma":0.0009341647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01997689,"about_ca_topic_score_gemma":0.01294385,"domain_scores_codex":[0.9963569,0.002103358,0.00009427057,0.0001529576,0.0005948034,0.0006975816],"domain_scores_gemma":[0.9928175,0.004000249,0.001440207,0.0002831226,0.0008090479,0.0006498546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002256577,0.0001851011,0.04610396,0.0002049009,0.00005311075,0.001373923,0.7981085,0.0002300551,0.003627547,0.1024566,0.01202317,0.03540747],"study_design_scores_gemma":[0.00002214599,0.00007443409,0.11903,0.0002285573,0.0000105833,0.001257365,0.7488423,0.0001619679,0.0008446614,0.007359838,0.1221181,0.00004992438],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8753321,0.002307199,0.0003818807,0.01892362,0.0003001312,0.00001333692,0.00009569532,0.00000994213,0.1026362],"genre_scores_gemma":[0.9952298,0.0004465322,0.00002805319,0.000584951,0.00009400564,0.000006373853,0.00001762471,0.000005506697,0.00358727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01997689,"threshold_uncertainty_score":0.03972119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0688551707669167,"score_gpt":0.3575543425729624,"score_spread":0.2886991718060457,"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."}}