{"id":"W2227965956","doi":"10.1161/circoutcomes.7.suppl_1.267","title":"Abstract 267: Improving Inpatient Stroke Care by Implementing Stroke Units Across Health Systems Using an Improvement Collaborative Approach","year":2014,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Health; Alberta Health Services; University of British Columbia; Provincial Health Services Authority; Royal Inland Hospital; University of Calgary","funders":"","keywords":"Stroke (engine); Medicine; Audit; Best practice; Likert scale; Unit (ring theory); Quality management; Health care; Teamwork; Lagging; Acute stroke; Family medicine; Nursing; Physical therapy; Psychology; Operations management; Emergency department","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":[0.03206147,0.0009443004,0.0006958041,0.002257707,0.004077795,0.005303563,0.003497193,0.001580067,0.006037833],"category_scores_gemma":[0.04368265,0.0004466648,0.001057997,0.002590878,0.00223119,0.003673448,0.009667947,0.002613198,0.001120676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007464529,"about_ca_system_score_gemma":0.04881524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034307,"about_ca_topic_score_gemma":0.01244318,"domain_scores_codex":[0.961485,0.02551784,0.00228815,0.002303717,0.006009811,0.002395559],"domain_scores_gemma":[0.9723371,0.006618402,0.004188635,0.002920783,0.006013943,0.007921141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003275431,0.003583929,0.02773651,0.003984458,0.0004263953,0.0003750894,0.02613559,0.004050981,0.0035903,0.01916174,0.119303,0.7913244],"study_design_scores_gemma":[0.002746037,0.01105321,0.2083021,0.009761623,0.002027527,0.00125448,0.07666782,0.02881449,0.01631272,0.07188192,0.5706392,0.0005388189],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3195532,0.004867875,0.2763442,0.1610861,0.004281341,0.02832039,0.001873207,0.005009793,0.198664],"genre_scores_gemma":[0.6410777,0.002210998,0.3268589,0.007301718,0.000536931,0.005833427,0.001370472,0.0002196211,0.01459018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03206147,"threshold_uncertainty_score":0.1695593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05467543052555143,"score_gpt":0.3398269175663695,"score_spread":0.2851514870408181,"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."}}