{"id":"W4285591073","doi":"10.1161/strokeaha.122.039954","title":"Simulation and Machine Learning Provide New Approaches to Examine Quality of Acute Stroke Management","year":2022,"lang":"en","type":"letter","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Dalhousie University","funders":"National Institute for Health and Care Research","keywords":"Medicine; Stroke (engine); Acute stroke; Quality management; Intensive care medicine; Quality (philosophy); Machine learning; Artificial intelligence; Operations management; Management system; Emergency department; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.008026564,0.0005363825,0.001313087,0.001159039,0.001648875,0.004657852,0.001179257,0.01319471,0.005838356],"category_scores_gemma":[0.06540527,0.0003301511,0.001065364,0.001219074,0.002529985,0.003890877,0.001795338,0.0186531,0.002174067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003189836,"about_ca_system_score_gemma":0.004833159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006256986,"about_ca_topic_score_gemma":0.013398,"domain_scores_codex":[0.9920701,0.004246077,0.0009573386,0.0003914412,0.001971209,0.0003637031],"domain_scores_gemma":[0.9218141,0.06327332,0.002115472,0.001616154,0.008054287,0.003126616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001889246,0.0002798382,0.01854821,0.000223738,0.0001623958,0.001480135,0.0003748318,0.001825942,0.0001595763,0.0248209,0.7898945,0.1620411],"study_design_scores_gemma":[0.0007539272,0.0006388645,0.01809779,0.001612431,0.0001781534,0.003628225,0.002477699,0.02350812,0.0005130699,0.3059702,0.6423747,0.0002468318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001066393,0.001022399,0.001433832,0.9876523,0.00378654,0.00001960833,0.00005639431,0.00004037125,0.004922171],"genre_scores_gemma":[0.06213428,0.007726466,0.01246972,0.8265595,0.08242062,0.0002996726,0.0001953461,0.00007786563,0.008116475],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01319471,"threshold_uncertainty_score":0.04244906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1072696906642837,"score_gpt":0.3039362189416902,"score_spread":0.1966665282774065,"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."}}