{"id":"W1500629625","doi":"10.1161/str.46.suppl_1.50","title":"Abstract 50: Shape of the TPA Time - Benefit Curve: Insights From The National US Get With The Guidelines - Stroke Population","year":2015,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Stroke (engine); Tissue plasminogen activator; Population; Ambulatory; Demography; 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":[0.004146506,0.0002449754,0.000649398,0.001248049,0.0002876716,0.001350253,0.0005659183,0.0007401165,0.004142459],"category_scores_gemma":[0.01757869,0.0002066736,0.0009242266,0.002485872,0.0003279734,0.0009570677,0.0009737163,0.001094085,0.0007941047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413216,"about_ca_system_score_gemma":0.001290001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03558093,"about_ca_topic_score_gemma":0.03715734,"domain_scores_codex":[0.9978203,0.0009610471,0.0002295491,0.0003167967,0.0004106518,0.0002616804],"domain_scores_gemma":[0.993673,0.001786614,0.002187223,0.0006901733,0.001209401,0.0004534993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001903575,0.00005402321,0.9688746,0.0000485622,0.0002018605,0.00009898567,0.0002195392,0.0007355573,0.00008381855,0.001059884,0.007489456,0.02094335],"study_design_scores_gemma":[0.00002822872,0.00006760276,0.9939544,0.00004788358,0.00007049145,0.0001860425,0.0002663416,0.002062907,0.00003506323,0.001229358,0.002039081,0.00001265823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564874,0.004389299,0.004377963,0.008086602,0.00008984988,0.0001748344,0.01407461,0.0001257339,0.0121938],"genre_scores_gemma":[0.9910925,0.0006799778,0.0007876402,0.0009916855,0.00009655906,0.00007510823,0.005516068,0.00003829012,0.0007220965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03558093,"threshold_uncertainty_score":0.07074767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815726767404561,"score_gpt":0.2883799683891685,"score_spread":0.2502227007151229,"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."}}