{"id":"W2537592495","doi":"10.1161/strokeaha.116.013344","title":"How Patient Demographics, Imaging, and Beliefs Influence Tissue-Type Plasminogen Activator Use","year":2016,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Calgary; University of Ottawa","funders":"University of California, San Francisco; American Academy of Neurology","keywords":"Medicine; Perfusion scanning; Thrombolysis; Stroke (engine); Radiology; Medical history; Perfusion; Clinical trial; Surgery; 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":[0.003948973,0.0001338812,0.0002037148,0.0004576247,0.0006486851,0.001685479,0.0003284289,0.0006099514,0.003430494],"category_scores_gemma":[0.0380937,0.0001605203,0.000345333,0.0006477007,0.0007232595,0.0007015136,0.0004863627,0.0006587794,0.0002101482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590302,"about_ca_system_score_gemma":0.00290376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03238227,"about_ca_topic_score_gemma":0.03859528,"domain_scores_codex":[0.9962509,0.002248245,0.0002621569,0.0002480698,0.0005922068,0.0003985497],"domain_scores_gemma":[0.9675556,0.02130569,0.006474998,0.0005968071,0.001678202,0.002388693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001033562,0.00008771907,0.9946247,0.00001495345,0.00003879935,0.00003637455,0.001317425,0.00006031672,0.00003101075,0.00005874606,0.000231146,0.003395522],"study_design_scores_gemma":[0.00001920926,0.0001705018,0.990398,0.00006765001,0.00006480295,0.0001650047,0.006924022,0.001117638,0.00009367298,0.0002160257,0.0007463371,0.00001710444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979395,0.0002005016,0.00008005235,0.0007174013,0.000007225532,0.00001236731,0.00009377902,0.000001697628,0.0009473861],"genre_scores_gemma":[0.9996929,0.00007017609,0.00006454163,0.00007806268,0.000003969287,0.000003778544,0.00002737758,6.79359e-7,0.00005860016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03238227,"threshold_uncertainty_score":0.06438756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027577580279048,"score_gpt":0.2347626943541975,"score_spread":0.224486918551407,"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."}}