{"id":"W3157492870","doi":"10.3389/fneur.2021.663899","title":"Prediction of Clinical Outcomes in Acute Ischaemic Stroke Patients: A Comparative Study","year":2021,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; Hotchkiss Brain Institute; University of Calgary","funders":"Canada Research Chairs; Hotchkiss Brain Institute; Heart and Stroke Foundation of Canada","keywords":"Medicine; Clinical trial; Stroke (engine); Regression; Physical medicine and rehabilitation; Neuroimaging; Regression analysis; Artificial intelligence; Machine learning; Physical therapy; Computer science; Internal medicine; Statistics","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":[0.006529573,0.0009860049,0.00129437,0.001007255,0.0003451918,0.0008252666,0.000663445,0.001117783,0.001915423],"category_scores_gemma":[0.01092731,0.0002954516,0.001998501,0.0006806945,0.0005455774,0.001148945,0.0007566787,0.0006595468,0.0005465408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004724629,"about_ca_system_score_gemma":0.0005127926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001243019,"about_ca_topic_score_gemma":0.0006738603,"domain_scores_codex":[0.9976853,0.001446573,0.000187576,0.0003843718,0.000194043,0.0001021263],"domain_scores_gemma":[0.9936691,0.003640349,0.0008023971,0.0008005855,0.0006481587,0.0004393733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1314918,0.009336417,0.7698429,0.000925301,0.0102014,0.0003322844,0.0007757594,0.004209489,0.0009905904,0.0004238099,0.0008514441,0.07061875],"study_design_scores_gemma":[0.00958603,0.07809694,0.8777074,0.0002250795,0.007564595,0.0006184302,0.0009316238,0.02162129,0.0007150327,0.001243145,0.001519771,0.000170767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974539,0.001089435,0.0007380687,0.00005378458,0.00002789865,0.0001048817,0.000183098,0.000008052187,0.0003408527],"genre_scores_gemma":[0.9979698,0.0005496484,0.000444248,0.00003909291,0.00006732769,0.0001187834,0.0006642863,0.00000370919,0.0001431251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006529573,"threshold_uncertainty_score":0.03453207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.040928768419504,"score_gpt":0.3353432898630788,"score_spread":0.2944145214435748,"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."}}