{"id":"W7035871431","doi":"","title":"Analyse du système de couverture des services dentaires au Québec","year":2007,"lang":"fr","type":"other","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Data collection; Context (archaeology); Population; Identification (biology); Process (computing)","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":[0.002332835,0.0004878587,0.0004658152,0.005321571,0.001907923,0.003834279,0.001334154,0.0005829764,0.01699767],"category_scores_gemma":[0.01158998,0.000426812,0.0006272449,0.0114113,0.0006528203,0.000917358,0.0009260331,0.0006947778,0.001533137],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06776524,"about_ca_system_score_gemma":0.05720081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993648,"about_ca_topic_score_gemma":0.9916368,"domain_scores_codex":[0.9968838,0.0006156338,0.0001683206,0.0003102541,0.001428623,0.0005933023],"domain_scores_gemma":[0.9898637,0.001773138,0.0006327195,0.0004160242,0.006676312,0.0006381072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006277036,0.0003267875,0.5975069,0.0009541254,0.0004389856,0.0006565098,0.006971695,0.02664973,0.002532765,0.03219405,0.08667403,0.2444667],"study_design_scores_gemma":[0.0000455468,0.00009584043,0.9095668,0.0002709592,0.0001197691,0.0001222712,0.004969505,0.02030845,0.001176575,0.0006977921,0.06257007,0.00005641556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7669842,0.00461803,0.008564143,0.005716712,0.000123091,0.0008223007,0.1046971,0.001013359,0.1074611],"genre_scores_gemma":[0.9070448,0.001589417,0.008418173,0.0002076586,0.00002404263,0.0002547193,0.02003598,0.0001569976,0.06226826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9322348,"threshold_uncertainty_score":0.4916735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004742785129241154,"score_gpt":0.1752883031668834,"score_spread":0.1705455180376423,"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."}}