{"id":"W3004734130","doi":"10.3917/spub.197.0059","title":"Recherche interventionnelle pour la réduction des inégalités sociales et territoriales de dépistage des cancers","year":2020,"lang":"fr","type":"article","venue":"Santé Publique","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Object Research Systems (Canada)","funders":"","keywords":"Medicine","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":[0.0131053,0.0005571741,0.001087346,0.000760928,0.001308622,0.001648908,0.0009565057,0.001554685,0.01438829],"category_scores_gemma":[0.02848858,0.0003524935,0.00229973,0.0007781709,0.000839222,0.001357906,0.001454371,0.001759088,0.001180212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002141667,"about_ca_system_score_gemma":0.01126068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01450903,"about_ca_topic_score_gemma":0.02918757,"domain_scores_codex":[0.9879446,0.009828772,0.0003852023,0.0006179212,0.0007054197,0.0005179614],"domain_scores_gemma":[0.9839594,0.01074712,0.001765479,0.000841765,0.001870351,0.0008159343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01175358,0.009786608,0.06849761,0.03059713,0.004825843,0.0004165304,0.01402889,0.002786875,0.004398771,0.0164679,0.01560698,0.8208333],"study_design_scores_gemma":[0.01555193,0.1112312,0.3883537,0.04651054,0.01548158,0.0006690056,0.03620739,0.005161155,0.0123214,0.03216086,0.3359462,0.0004050231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7649227,0.09848671,0.0273664,0.03580378,0.00326736,0.01535069,0.002836186,0.0003063723,0.05165976],"genre_scores_gemma":[0.9039097,0.02769391,0.03232468,0.006014546,0.0006665355,0.01667103,0.0008154185,0.0000583702,0.01184577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01450903,"threshold_uncertainty_score":0.06930828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5585279607590907,"score_gpt":0.561722120932203,"score_spread":0.003194160173112248,"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."}}