{"id":"W3164994245","doi":"10.1007/s00062-021-01026-0","title":"Patient Outcomes to Evaluate Machine Outputs","year":2021,"lang":"en","type":"article","venue":"Clinical Neuroradiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"","keywords":"Computer science; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006352876,0.001021008,0.001217529,0.003007783,0.0003912635,0.002387997,0.0006018597,0.0008263226,0.007738917],"category_scores_gemma":[0.04173929,0.000132372,0.001631324,0.001597426,0.0006517587,0.002116886,0.001288144,0.001308216,0.002140177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008160527,"about_ca_system_score_gemma":0.001042208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106728,"about_ca_topic_score_gemma":0.001229667,"domain_scores_codex":[0.9941651,0.001749392,0.0009882204,0.0006774248,0.001957333,0.0004625332],"domain_scores_gemma":[0.9684879,0.01961044,0.004052825,0.001859934,0.004903126,0.001085715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003663619,0.001038122,0.7927977,0.0004341372,0.001453695,0.0001852267,0.0002795074,0.01755673,0.001121378,0.002413026,0.009975609,0.1690813],"study_design_scores_gemma":[0.0005722092,0.01148861,0.6926616,0.000664019,0.002106162,0.001739244,0.001388887,0.2270017,0.01661289,0.02344969,0.0220939,0.0002212179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8533454,0.001439178,0.07626206,0.002150152,0.0006984359,0.00081021,0.03566677,0.001526134,0.02810172],"genre_scores_gemma":[0.9794979,0.0001503973,0.007892479,0.0002845841,0.0001396634,0.0004071378,0.01024938,0.0001139727,0.001264532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007738917,"threshold_uncertainty_score":0.03359759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06292601980363885,"score_gpt":0.3924482436468851,"score_spread":0.3295222238432463,"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."}}