{"id":"W2616461256","doi":"10.1161/str.47.suppl_1.tp301","title":"Abstract TP301: Improving Stroke Door-to-Needle Time Through a Recognition Program","year":2016,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Stroke Network; Ottawa Public Health","funders":"","keywords":"Medicine; Thrombolysis; Stroke (engine); Acute stroke; Medical emergency; Nursing; Emergency department; Internal medicine","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":[0.005278402,0.0006053287,0.0004002849,0.0009900201,0.001601463,0.001885056,0.002419619,0.000953822,0.02861688],"category_scores_gemma":[0.01885067,0.000241897,0.0006295155,0.000896428,0.0006148173,0.001721377,0.002586048,0.001254529,0.005010463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006387394,"about_ca_system_score_gemma":0.03310443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04649195,"about_ca_topic_score_gemma":0.05031977,"domain_scores_codex":[0.9954339,0.001515922,0.0002721064,0.0004929947,0.001514147,0.0007709076],"domain_scores_gemma":[0.9862006,0.001636647,0.001768624,0.000574532,0.003516087,0.006303478],"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":[0.0009934683,0.005327137,0.04026941,0.001389065,0.00009157878,0.0002577782,0.001187199,0.002278252,0.002208146,0.001976948,0.1422007,0.8018204],"study_design_scores_gemma":[0.004196781,0.03239123,0.5370586,0.003724014,0.0008150041,0.001234391,0.006534462,0.02861818,0.01384963,0.005277715,0.3659296,0.0003703653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6216316,0.003412736,0.05464086,0.06889941,0.003622524,0.01482336,0.005560261,0.01400905,0.2134003],"genre_scores_gemma":[0.8877345,0.002659147,0.05371573,0.006814945,0.001055778,0.004815312,0.003954806,0.0003506122,0.03889917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04649195,"threshold_uncertainty_score":0.09573299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972883594662399,"score_gpt":0.2754901612710683,"score_spread":0.2557613253244443,"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."}}