{"id":"W1987078398","doi":"10.1212/wnl.57.3.474","title":"Predictors of good outcome after intravenous tPA for acute ischemic stroke","year":2001,"lang":"en","type":"article","venue":"Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Medicine; Modified Rankin Scale; Diabetes mellitus; Stroke (engine); Confounding; Logistic regression; Internal medicine; Acute stroke; Blood pressure; Fibrinolytic agent; Ischemic stroke; Cardiology; Surgery; Tissue plasminogen activator; Ischemia","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":[0.0005794523,0.0002132343,0.0001921482,0.0005636262,0.0003049791,0.0003803611,0.0001759673,0.0002560748,0.001627777],"category_scores_gemma":[0.005306635,0.0001051329,0.0001667272,0.0004699731,0.0003529813,0.000225743,0.0002571726,0.0004834093,0.0001919656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002194682,"about_ca_system_score_gemma":0.0004790312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00131093,"about_ca_topic_score_gemma":0.002548407,"domain_scores_codex":[0.9996179,0.0001391492,0.00004751271,0.00003329138,0.00007418694,0.00008787203],"domain_scores_gemma":[0.9963413,0.001222766,0.00145793,0.0000821796,0.0002493597,0.0006464396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001783048,0.00004133813,0.9976282,0.000007365661,0.00001802275,0.00007003068,0.00002151247,0.00007007705,0.0000850984,0.00000953311,0.0001201108,0.001750512],"study_design_scores_gemma":[0.00001582703,0.0001643125,0.9988866,0.00000795991,0.00003393844,0.0002829966,0.00006683068,0.0002672083,0.0001178343,0.00007157875,0.00008207327,0.000002966565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989938,0.000252618,0.0001132942,0.0001698842,0.000006130133,0.000008735805,0.0001002758,0.000004166417,0.0003512489],"genre_scores_gemma":[0.9997355,0.00005565586,0.00005037928,0.00001188624,0.00001116698,0.000003388424,0.00009338441,7.492271e-7,0.00003790596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001627777,"threshold_uncertainty_score":0.005445421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141517142270767,"score_gpt":0.2633492900176707,"score_spread":0.2519341185949631,"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."}}