{"id":"W4310731794","doi":"10.1016/j.msard.2022.104444","title":"Stroke Outcomes and Hyperacute Treatment Utilization in Multiple Sclerosis","year":2022,"lang":"en","type":"article","venue":"Multiple Sclerosis and Related Disorders","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Stroke (engine); Thrombolysis; Population; Odds ratio; Logistic regression; Multiple sclerosis; Emergency medicine; Internal medicine; Physical therapy; Myocardial infarction; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003775463,0.0004406583,0.0007452391,0.0005097828,0.000916936,0.00006327351,0.0001194289,0.0001505704,0.000213411],"category_scores_gemma":[0.0004254813,0.000366526,0.0001936056,0.0005849487,0.0003219545,0.0001817968,0.0003711013,0.0004713356,0.000009178078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003175031,"about_ca_system_score_gemma":0.00006433285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001481097,"about_ca_topic_score_gemma":0.0008866821,"domain_scores_codex":[0.9970493,0.0002411722,0.000621853,0.0008244042,0.0005916841,0.0006715359],"domain_scores_gemma":[0.9986457,0.0004801136,0.0001389808,0.0003894932,0.00006154857,0.0002841754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004212242,0.001025758,0.86299,0.00004041345,0.0003638414,0.000006735413,0.001988316,0.0003832517,0.01347939,0.0000187451,0.0001695109,0.1191128],"study_design_scores_gemma":[0.01701716,0.0007363143,0.9567685,0.00009568162,0.0001184179,0.000008116816,0.003381399,0.01832497,0.0003751348,0.00001941766,0.002793834,0.000361073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902161,0.004429586,0.00001383267,0.002758522,0.0002007003,0.001584917,0.0002002573,0.0001370633,0.0004590164],"genre_scores_gemma":[0.9696364,0.02830162,0.0003147034,0.0001707754,0.00001588156,0.0005631354,0.0001396231,0.00006630258,0.0007914933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1187517,"threshold_uncertainty_score":0.9998786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09061417699426802,"score_gpt":0.2900186955521802,"score_spread":0.1994045185579122,"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."}}