{"id":"W2742218116","doi":"10.1161/str.47.suppl_1.wp243","title":"Abstract WP243: Identification of IV tPA Delays Can Improve Future Occurences","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":"Berger (Canada)","funders":"","keywords":"Medicine; Stroke (engine); Emergency department; Emergency medicine; Retrospective cohort study; Internal medicine","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":[0.002421942,0.000330974,0.0002998492,0.001267379,0.0004514924,0.001234393,0.0006605177,0.0003409396,0.006958565],"category_scores_gemma":[0.02431,0.0001759079,0.000417462,0.001405273,0.00027476,0.001230375,0.0009369588,0.0008811052,0.0009637259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009435756,"about_ca_system_score_gemma":0.002260945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005071751,"about_ca_topic_score_gemma":0.003936761,"domain_scores_codex":[0.9984351,0.0002595063,0.0004808355,0.0002225084,0.0003851327,0.0002168811],"domain_scores_gemma":[0.9787418,0.00459954,0.01294468,0.0004371565,0.002091331,0.001185618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001994558,0.0000673029,0.9572371,0.0001930211,0.00003118515,0.0001627444,0.0002224342,0.0002655892,0.0002433367,0.0002120642,0.004938402,0.03622736],"study_design_scores_gemma":[0.00001856503,0.0003504728,0.9884335,0.0003416628,0.00005173913,0.0005829569,0.0009485309,0.001761885,0.0008791119,0.000529983,0.006080123,0.00002148047],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695485,0.002461363,0.005253652,0.005471688,0.0002430884,0.0002934373,0.006722247,0.0002100134,0.009796089],"genre_scores_gemma":[0.9930111,0.001056539,0.002381408,0.0003536257,0.0001555522,0.0001277565,0.001903405,0.00003335223,0.0009772172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006958565,"threshold_uncertainty_score":0.02327877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009641311129694229,"score_gpt":0.2537860241477978,"score_spread":0.2441447130181036,"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."}}