{"id":"W2293594936","doi":"10.1161/str.44.suppl_1.a1","title":"Abstract 1: Patient and Hospital Factors Associated with Lack of IV tPA Use among Eligible Patients with Acute Ischemic Stroke: Findings from Get with the Guidelines-Stroke","year":2013,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Stroke (engine); Gee; Logistic regression; Emergency medicine; Diabetes mellitus; Generalized estimating equation; Ischemic stroke; Internal medicine; Pediatrics; Ischemia","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":[0.001007474,0.0002610882,0.0003680236,0.0007171414,0.0002539074,0.0007461797,0.0004001967,0.0004538928,0.00325657],"category_scores_gemma":[0.006955629,0.0001722426,0.000846823,0.001455631,0.0001890289,0.0005607135,0.0006289096,0.0006949562,0.0003964516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002899584,"about_ca_system_score_gemma":0.0007735419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004946225,"about_ca_topic_score_gemma":0.005229393,"domain_scores_codex":[0.9988981,0.0002956601,0.000264414,0.0001890006,0.000195192,0.0001575053],"domain_scores_gemma":[0.9927332,0.001405876,0.004320907,0.0003783816,0.0005021474,0.0006593975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007633823,0.00001635842,0.9989568,0.000008859592,0.00004475615,0.00002170899,0.00001405887,0.00003392114,0.00002766008,0.000007393287,0.0003272929,0.0004649059],"study_design_scores_gemma":[0.00001060472,0.00006998607,0.9992514,0.000009410575,0.00004913098,0.000107739,0.0000737891,0.0002212509,0.00003217626,0.0000196617,0.0001516002,0.000003159208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945098,0.00009903735,0.00016867,0.0001766584,0.000009657939,0.00001955122,0.004476747,0.00001450032,0.0005252709],"genre_scores_gemma":[0.9964646,0.00004766202,0.0001412072,0.0000531552,0.00001582023,0.00002699762,0.003061947,0.000005694968,0.00018296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004946225,"threshold_uncertainty_score":0.0108943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794018970033088,"score_gpt":0.2418931042860558,"score_spread":0.2239529145857249,"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."}}