{"id":"W3145397744","doi":"10.4000/rfst.348","title":"Accessibilité des structures de santé publique en transports en commun et inégalités de santé à São Paulo","year":2020,"lang":"fr","type":"article","venue":"Revue francophone sur la santé et les territoires","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Political science; Humanities; Philosophy","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":[0.001441045,0.0002747081,0.0001932163,0.001499272,0.001965929,0.002474796,0.0005648413,0.0007282472,0.009912373],"category_scores_gemma":[0.005380027,0.0002941598,0.000276322,0.001956455,0.002894593,0.001778908,0.003627413,0.0007945895,0.0003422497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004419698,"about_ca_system_score_gemma":0.008085198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1370819,"about_ca_topic_score_gemma":0.1618369,"domain_scores_codex":[0.9985038,0.0006010611,0.00005745254,0.0001933521,0.0002814686,0.0003627831],"domain_scores_gemma":[0.9960707,0.001903893,0.0009065443,0.0002342513,0.0004954714,0.0003890665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001313274,0.0001454215,0.4297888,0.001384265,0.0001611641,0.001330791,0.1226116,0.002154103,0.002935478,0.3090071,0.005354618,0.1249953],"study_design_scores_gemma":[0.00002613474,0.0001726812,0.7533424,0.002087628,0.000114622,0.001077194,0.09830908,0.001633657,0.0005565475,0.02003265,0.1225958,0.00005166533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8808369,0.004410621,0.00509111,0.01326173,0.00008093688,0.0001045453,0.0008803669,0.00003627213,0.09529749],"genre_scores_gemma":[0.9932355,0.001442554,0.0006380794,0.0001252897,0.00001663403,0.00004229587,0.0001044279,0.000006195112,0.004389037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1370819,"threshold_uncertainty_score":0.272568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877004773979448,"score_gpt":0.310490570491696,"score_spread":0.2917205227519016,"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."}}