{"id":"W2620708490","doi":"10.1017/s0266462317000198","title":"SHAPING QUALITY THROUGH VISION, STRUCTURE, AND MONITORING OF PERFORMANCE AND QUALITY INDICATORS: IMPACT STORY FROM THE QUEBEC TRAUMA NETWORK","year":2017,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Excellence en Santé et en Services Sociaux","funders":"","keywords":"Quality (philosophy); Quality management; Rehabilitation; Incidence (geometry); Operations management; Medicine; Health care; Business; Performance indicator; Medical emergency; Emergency medicine; Engineering; Physical therapy; Marketing; Economic growth; Economics","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":[0.008763765,0.0005547408,0.0003373416,0.001452882,0.006777685,0.008440146,0.002077795,0.002171588,0.004056029],"category_scores_gemma":[0.01948262,0.0002161468,0.0006739156,0.00269211,0.005469765,0.002937889,0.00309117,0.003864138,0.0003785305],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1031789,"about_ca_system_score_gemma":0.1380934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9729337,"about_ca_topic_score_gemma":0.9741954,"domain_scores_codex":[0.9915611,0.003100363,0.0001720872,0.0002826796,0.002720345,0.002163382],"domain_scores_gemma":[0.9776174,0.003996869,0.0007044052,0.0007561223,0.01112877,0.00579644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003389397,0.0003157794,0.05894816,0.000866475,0.0001713177,0.001119519,0.01296501,0.005997943,0.001232925,0.06477627,0.4983895,0.3548782],"study_design_scores_gemma":[0.0002153993,0.0005707538,0.1560607,0.002962526,0.0002301007,0.0004701268,0.03496286,0.006299995,0.001629578,0.02215719,0.7740715,0.0003693173],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07213748,0.02257333,0.003535589,0.811902,0.002933772,0.0001517101,0.00171266,0.0002949877,0.08475851],"genre_scores_gemma":[0.8961178,0.0238259,0.006762668,0.05043605,0.001161883,0.0001567502,0.001369174,0.0001664143,0.02000342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8968211,"threshold_uncertainty_score":0.7486187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05821453199067268,"score_gpt":0.4723474692776806,"score_spread":0.4141329372870079,"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."}}