{"id":"W4392497076","doi":"","title":"L’égalité dans ses rapports à la race. Des discriminations subies par les travailleurs marocains de la SNCF (1970-2018).","year":2023,"lang":"fr","type":"other","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":"","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002155808,0.0003357731,0.0002898689,0.001606535,0.007171118,0.003592329,0.0005983579,0.001637314,0.02104259],"category_scores_gemma":[0.005374049,0.0002072095,0.000327808,0.002382067,0.00427388,0.00252151,0.003394737,0.002967117,0.002597881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009019691,"about_ca_system_score_gemma":0.01264785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3206889,"about_ca_topic_score_gemma":0.510567,"domain_scores_codex":[0.9975677,0.0006458513,0.00006447281,0.0002933588,0.0006628399,0.0007658626],"domain_scores_gemma":[0.9976688,0.0006955497,0.000362441,0.0001089961,0.000496692,0.0006675682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001670154,0.0000497196,0.02252899,0.000610198,0.00002649212,0.0008561876,0.2647851,0.000125064,0.0007336012,0.1701472,0.2977138,0.2422565],"study_design_scores_gemma":[0.000004469033,0.00002429453,0.0407787,0.000776679,0.000006990601,0.0002199137,0.06602927,0.00001669778,0.0002222875,0.002726847,0.8891691,0.00002471371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2057615,0.1111882,0.0007991693,0.1309377,0.009282637,0.00007346659,0.003483802,0.00007428327,0.5383992],"genre_scores_gemma":[0.5594639,0.03511456,0.0005987239,0.008750752,0.001944641,0.0001305709,0.001167632,0.0001637128,0.3926656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3206889,"threshold_uncertainty_score":0.6376446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06611032470932275,"score_gpt":0.322043833102062,"score_spread":0.2559335083927392,"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."}}