{"id":"W3134462638","doi":"10.14428/emulations.03536.04","title":"Quand les inégalités sociales rendent les patients « difficiles » : le vécu de médecins","year":2020,"lang":"fr","type":"article","venue":"Emulations - Revue de sciences sociales","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002020269,0.0003463341,0.0005204472,0.000191616,0.008916899,0.0005863299,0.0008355357,0.0004740439,0.0004832317],"category_scores_gemma":[0.001552273,0.0004069794,0.0003305087,0.001864545,0.005477517,0.0008801573,0.0001466158,0.0004184911,0.00009470707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327157,"about_ca_system_score_gemma":0.005573469,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06171838,"about_ca_topic_score_gemma":0.1491297,"domain_scores_codex":[0.9950292,0.001353983,0.0008570785,0.0007425316,0.0009635313,0.001053641],"domain_scores_gemma":[0.9976106,0.0006587348,0.0005857642,0.0001983265,0.0004157936,0.0005308275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000007541147,0.000310206,0.4590679,0.0001501746,0.00002788714,0.000001875373,0.06691658,0.0008441269,0.00003225098,0.4630228,0.005068603,0.00455001],"study_design_scores_gemma":[0.0008760202,0.0002903189,0.7675586,0.0002740283,0.0001967086,0.000002266464,0.05207155,0.005118408,0.00003492189,0.116927,0.05571703,0.0009331228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8897905,0.005771055,0.003669863,0.07977592,0.001337759,0.0006369996,0.0002454777,0.0001843602,0.01858808],"genre_scores_gemma":[0.988109,0.002480573,0.002286344,0.0006185729,0.002882387,0.00002721303,0.00005649477,0.00003246223,0.003506965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3460958,"threshold_uncertainty_score":0.9998382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2846064545741119,"score_gpt":0.3815896560537568,"score_spread":0.0969832014796449,"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."}}