{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009435623,0.000177335,0.0004406897,0.0001309946,0.0000182688,0.000003026992,0.0001548061,0.0001667223,0.0001918248],"category_scores_gemma":[0.00006310675,0.0001589133,0.0001514243,0.00009240228,0.0001067985,0.00003302147,0.0001084922,0.0002344058,0.00002633322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000199377,"about_ca_system_score_gemma":0.00002663991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001153992,"about_ca_topic_score_gemma":0.000004381139,"domain_scores_codex":[0.9986922,0.00001904899,0.0003936677,0.0003359065,0.0001734766,0.0003857745],"domain_scores_gemma":[0.9992046,0.00008201647,0.0001246917,0.0004253051,0.00006403598,0.00009940149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006440116,0.0003619302,0.8957017,0.0001587817,0.0009169221,0.0005890102,0.0001841165,0.000005226152,0.06342121,0.00006927648,0.02936633,0.002785355],"study_design_scores_gemma":[0.007170621,0.007663485,0.2889268,0.00001408756,0.002203417,0.0009622016,0.00002288728,0.0002778294,0.01712964,0.00001808557,0.675306,0.0003049336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797291,0.00007437927,0.001005397,0.003154467,0.0004877786,0.0006734203,0.00006580563,0.0000699517,0.01473973],"genre_scores_gemma":[0.9910577,0.00004165741,0.000748145,0.004109998,0.0002936019,0.0001293136,0.00002901254,0.00003941606,0.003551152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6459397,"threshold_uncertainty_score":0.6480297,"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."}}