{"id":"W4295804400","doi":"10.1177/15910199221125853","title":"Outcome prediction value of critical area perfusion score for acute basilar artery occlusion","year":2022,"lang":"en","type":"article","venue":"Interventional Neuroradiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Medicine; Modified Rankin Scale; Confidence interval; Receiver operating characteristic; Area under the curve; Computed tomography angiography; Odds ratio; Stroke (engine); Perfusion scanning; Angiography; Basilar artery; Logistic regression; Occlusion; Glasgow Coma Scale; Middle cerebral artery; Radiology; Internal medicine; Cardiology; Nuclear medicine; Perfusion; Surgery; Ischemia; Ischemic stroke","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000346776,0.0001509428,0.0003807473,0.0002333297,0.0001470011,0.000004135476,0.000177601,0.00006707576,0.0009998983],"category_scores_gemma":[0.0003016239,0.0001476624,0.0004451696,0.0001169872,0.0001474677,0.00004387854,0.0003984647,0.000282463,0.000006222665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001275571,"about_ca_system_score_gemma":0.00003616749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002940246,"about_ca_topic_score_gemma":2.116314e-7,"domain_scores_codex":[0.9982816,0.000132787,0.0006250387,0.0003903904,0.0003335903,0.0002365753],"domain_scores_gemma":[0.9992152,0.00018765,0.000129618,0.0002706132,0.0001202768,0.00007662609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004818892,0.003860736,0.4572679,0.001165214,0.001145031,0.001003993,0.0002717046,0.0009665767,0.2480334,0.02643229,0.252546,0.002488271],"study_design_scores_gemma":[0.01333223,0.02690278,0.8153775,0.0004334354,0.003366451,0.01295254,0.000513769,0.0624604,0.009005213,0.0049971,0.04989161,0.0007669611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742163,0.0001109952,0.01724008,0.004722089,0.001651482,0.000670693,0.0005955504,0.00006573082,0.000727098],"genre_scores_gemma":[0.9957649,0.000006241993,0.001237496,0.001108932,0.0001634717,0.0001539976,0.0004356675,0.00002598761,0.001103382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3581096,"threshold_uncertainty_score":0.9999133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787184790762843,"score_gpt":0.3328220774207921,"score_spread":0.2949502295131636,"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."}}