{"id":"W2782425880","doi":"10.1161/str.48.suppl_1.28","title":"Abstract 28: Virginia Stroke Coordinators Successfully Collaborate to Improve Door to Needle Times and EMS Relationships","year":2017,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Best practice; Quarter (Canadian coin); Thrombolysis; Honor; Medical emergency; Medical education; Management; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02267336,0.0005536885,0.0005245506,0.001652034,0.005589673,0.00641761,0.001864108,0.001321206,0.01801659],"category_scores_gemma":[0.06628965,0.0005763008,0.0007247605,0.001727658,0.001095484,0.002249693,0.007569776,0.001880094,0.004262155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008774653,"about_ca_system_score_gemma":0.05092895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03662922,"about_ca_topic_score_gemma":0.07860604,"domain_scores_codex":[0.9758449,0.01110525,0.001613817,0.001641863,0.005634876,0.004159163],"domain_scores_gemma":[0.9343395,0.01144123,0.008150533,0.005008453,0.02072206,0.02033836],"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":[0.0002635491,0.001519318,0.1632449,0.0005105383,0.0001433286,0.0006670784,0.01764623,0.0009537435,0.001032888,0.003717559,0.4735863,0.3367145],"study_design_scores_gemma":[0.0005107005,0.001873155,0.2324037,0.00143469,0.000222375,0.0006146038,0.06440018,0.001462566,0.003825855,0.002025614,0.6910494,0.0001771465],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6077777,0.001661155,0.02198295,0.09873014,0.004092265,0.004866995,0.005413182,0.003875314,0.2516003],"genre_scores_gemma":[0.8957092,0.001154812,0.02135359,0.01447815,0.001151691,0.002907315,0.003455536,0.001008463,0.0587813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03662922,"threshold_uncertainty_score":0.1199096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448744526904572,"score_gpt":0.2783843144917511,"score_spread":0.2638968692227054,"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."}}