{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06876416,0.002010398,0.001729605,0.002455462,0.0005271743,0.002037602,0.001843134,0.001335075,0.0006967321],"category_scores_gemma":[0.09215145,0.0009889812,0.003552053,0.001484617,0.0009332703,0.001670436,0.001798313,0.002866019,0.000287128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002184487,"about_ca_system_score_gemma":0.003906055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005711315,"about_ca_topic_score_gemma":0.003355162,"domain_scores_codex":[0.9720324,0.02421309,0.0007779866,0.001267834,0.001205467,0.0005031432],"domain_scores_gemma":[0.8027796,0.1818939,0.008020089,0.002306882,0.003996047,0.00100339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.004207303,0.0008626361,0.3727622,0.0003811886,0.00604615,0.0001413441,0.0002642717,0.5491848,0.0005520329,0.001162022,0.001075888,0.06336007],"study_design_scores_gemma":[0.0001845664,0.001261384,0.0193791,0.00006980207,0.000808496,0.00008060062,0.00005564416,0.9745054,0.0007749568,0.002527351,0.0003049373,0.00004760015],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8448141,0.002738776,0.1482899,0.001357215,0.00008377888,0.0005215493,0.0006832228,0.0004609065,0.00105054],"genre_scores_gemma":[0.9633314,0.0004494985,0.0345748,0.0001386343,0.00006896959,0.0003404454,0.000869301,0.00005379841,0.0001731432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06876416,"threshold_uncertainty_score":0.363664,"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."}}