{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000683568,0.0001166717,0.0004166099,0.0001427532,0.0002598577,0.0000215645,0.0003196484,0.000116193,0.000009272902],"category_scores_gemma":[0.0002128105,0.00007890262,0.00006321262,0.00006808515,0.0002784724,0.0002216136,0.0001424786,0.0006825195,5.114369e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003685045,"about_ca_system_score_gemma":0.0002751725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003800679,"about_ca_topic_score_gemma":0.001281172,"domain_scores_codex":[0.9985048,0.00009850181,0.0007039882,0.0001459456,0.0003863529,0.0001604799],"domain_scores_gemma":[0.9981769,0.0001468682,0.001083609,0.0002268731,0.00031974,0.00004600089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001184153,0.00002145286,0.8858012,0.00008718901,0.0001850505,0.000005344793,0.001640106,0.00001767124,0.00005623569,0.0005906529,0.00006249377,0.1114142],"study_design_scores_gemma":[0.0009220684,0.0002546213,0.9897342,0.0008769694,0.0000171316,0.00002062754,0.006779693,0.000004745532,0.0001339395,0.0004837503,0.0007129855,0.00005927061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794949,0.009596162,0.00005702858,0.009768548,0.0008495894,0.0001212857,0.00003482727,0.000009169089,0.00006847297],"genre_scores_gemma":[0.9951014,0.00270089,0.001781767,0.00008941613,0.0003106641,0.000002331942,0.000004527537,0.00000689404,0.000002131011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1113549,"threshold_uncertainty_score":0.5745514,"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."}}