{"id":"W6980674380","doi":"","title":"Comparaison de l'efficience des systèmes de santé provinciaux canadiens","year":2018,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Production (economics); Ile de france","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":[0.003850549,0.0007926045,0.001031921,0.001988477,0.0009139364,0.003747401,0.0009882983,0.001133572,0.008597744],"category_scores_gemma":[0.01064255,0.0004295468,0.001406858,0.002836721,0.0006644226,0.001378313,0.001237588,0.0006963956,0.0008406506],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00460559,"about_ca_system_score_gemma":0.003531651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1223562,"about_ca_topic_score_gemma":0.1123526,"domain_scores_codex":[0.9971826,0.00127297,0.0001651581,0.0003276302,0.0006622587,0.0003894434],"domain_scores_gemma":[0.9936248,0.003717328,0.0003916861,0.0005308833,0.001418462,0.0003168109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0011256,0.0005275871,0.1119433,0.002096345,0.001371211,0.0003059952,0.001203686,0.7216811,0.008032041,0.01897441,0.00446183,0.1282769],"study_design_scores_gemma":[0.0004186691,0.003063743,0.3832249,0.000496042,0.001382127,0.0003159045,0.007656845,0.5296285,0.01322552,0.01249889,0.04781317,0.0002757224],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9073947,0.003692342,0.03096813,0.00215888,0.0001474865,0.0006921261,0.004032015,0.0009871713,0.04992723],"genre_scores_gemma":[0.9737907,0.001189102,0.01345499,0.0001604949,0.00001566206,0.0002606018,0.001911154,0.00005900781,0.009158246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9953944,"threshold_uncertainty_score":0.243288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345309353706449,"score_gpt":0.2386801818614195,"score_spread":0.225227088324355,"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."}}