{"id":"W3131654125","doi":"","title":"A FRAMEWORK FOR DEVELOPING A PERFORMANCE MEASUREMENT SYSTEM IN HEALTHCARE: A CASE STUDY IN MONTREAL","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Health care; Healthcare system; Computer science; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.02852804,0.001111553,0.0007198814,0.00531314,0.01259851,0.01677454,0.005263168,0.003381566,0.005661025],"category_scores_gemma":[0.02590406,0.0006374873,0.0008157071,0.007101955,0.01029295,0.005142694,0.006760011,0.002533923,0.0005194955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1178041,"about_ca_system_score_gemma":0.1619542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9065772,"about_ca_topic_score_gemma":0.9075539,"domain_scores_codex":[0.9782093,0.01485947,0.0009102676,0.001354082,0.00210859,0.00255838],"domain_scores_gemma":[0.9809185,0.007905859,0.001187568,0.0008767486,0.00613083,0.002980455],"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":[0.0001081203,0.0005183409,0.04843546,0.0006846382,0.00009790499,0.003371482,0.07580372,0.02285317,0.002719413,0.6921654,0.02422481,0.1290176],"study_design_scores_gemma":[0.0002578891,0.000815747,0.09869621,0.00411777,0.000304015,0.001196092,0.2451052,0.1341352,0.004954723,0.151557,0.3581819,0.0006782211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2469166,0.003179516,0.3276683,0.1149267,0.0004111975,0.007427204,0.00220838,0.001444454,0.2958176],"genre_scores_gemma":[0.7509854,0.0007468396,0.23115,0.0009450017,0.0000374609,0.001073618,0.0005197832,0.0001054164,0.0144365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1178041,"threshold_uncertainty_score":0.8547326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1217596517811855,"score_gpt":0.3829852581855355,"score_spread":0.26122560640435,"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."}}