{"id":"W3212804908","doi":"10.1161/svin.121.000167","title":"Evaluating Outcome Prediction Models in Endovascular Stroke Treatment Using Baseline, Treatment, and Posttreatment Variables","year":2021,"lang":"en","type":"article","venue":"Stroke Vascular and Interventional Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ottawa Hospital; University of British Columbia; NoNO (Canada); University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Innovates","keywords":"Modified Rankin Scale; Medicine; Logistic regression; Stroke (engine); Receiver operating characteristic; Internal medicine; Ischemic stroke","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003896582,0.0003517814,0.0006281691,0.0002759945,0.0001016395,0.00003424865,0.00005972063,0.0001468825,0.0001527744],"category_scores_gemma":[0.0001166128,0.0003044839,0.0004728637,0.0001218306,0.00008421373,0.0001439428,0.0001805577,0.0001557974,0.000002648976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002357826,"about_ca_system_score_gemma":0.00009393682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000410333,"about_ca_topic_score_gemma":0.00006495478,"domain_scores_codex":[0.9975798,0.000335602,0.0006371723,0.0007866889,0.0002872534,0.0003734703],"domain_scores_gemma":[0.9990582,0.0001170172,0.000110649,0.000472247,0.00009805251,0.0001438025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001614685,0.005810222,0.8625984,0.0006032258,0.009666243,0.001912931,0.0004496105,0.013693,0.06651746,0.00210609,0.0001551996,0.03487298],"study_design_scores_gemma":[0.06019505,0.02171254,0.1974897,0.0005074004,0.008279779,0.004573233,0.000593716,0.6807632,0.01327658,0.0008966864,0.01066535,0.001046767],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874116,0.005527062,0.004671421,0.0006503657,0.0001873205,0.0006799168,0.000212886,0.00004398841,0.0006154865],"genre_scores_gemma":[0.9881971,0.001767945,0.007913901,0.000305577,0.0001429876,0.000147714,0.0003554223,0.0000448969,0.001124476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6670702,"threshold_uncertainty_score":0.9999408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07710716164215854,"score_gpt":0.3404531577975329,"score_spread":0.2633459961553744,"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."}}