{"id":"W3029109062","doi":"10.3917/spub.184.0121","title":"Adaptation et conditions d’utilisation d’un outil d’analyse des interventions au regard des inégalités sociales de santé","year":2018,"lang":"fr","type":"article","venue":"Santé Publique","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Santé Montérégie; The Quebec Population Health Research Network; Université Laval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2645294,0.003322827,0.0039913,0.009350376,0.004564261,0.01988497,0.003081005,0.003873545,0.005648949],"category_scores_gemma":[0.3448718,0.001539611,0.0039868,0.01171332,0.009590456,0.01106668,0.009785997,0.004170496,0.0007439755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0199998,"about_ca_system_score_gemma":0.03509768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05262889,"about_ca_topic_score_gemma":0.03736199,"domain_scores_codex":[0.5262561,0.3941419,0.02388454,0.01449706,0.0352842,0.005936185],"domain_scores_gemma":[0.510659,0.3926814,0.02319825,0.03370717,0.03746646,0.002287804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001387627,0.001130004,0.08335975,0.01432779,0.001786265,0.0008081468,0.07704088,0.02040073,0.002587946,0.08853636,0.006400859,0.7022337],"study_design_scores_gemma":[0.001370693,0.005536735,0.241022,0.04918354,0.003648275,0.00213781,0.1086111,0.09269714,0.02469227,0.1779704,0.291601,0.001528905],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.260301,0.02673462,0.5530611,0.02611201,0.001734569,0.01424481,0.005543511,0.001602445,0.110666],"genre_scores_gemma":[0.6835101,0.007087618,0.2890525,0.001935678,0.0002964844,0.01311958,0.001418586,0.000319393,0.003259987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2645294,"threshold_uncertainty_score":0.9069662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1200659530562826,"score_gpt":0.4037921458961553,"score_spread":0.2837261928398727,"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."}}