{"id":"W2090526151","doi":"10.1161/strokeaha.112.661942","title":"Evaluating Performance of the Spetzler-Martin Supplemented Model in Selecting Patients With Brain Arteriovenous Malformation for Surgery","year":2012,"lang":"en","type":"article","venue":"Stroke","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Medicine; Logistic regression; Index (typography); Covariate; Arteriovenous malformation; Surgery; Statistics; Internal medicine; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00773309,0.001366234,0.0008216967,0.001451681,0.0003605311,0.0008663867,0.001258037,0.001001725,0.00140203],"category_scores_gemma":[0.01818416,0.0002712201,0.001484411,0.0006181647,0.0002655185,0.0006266775,0.0009329698,0.0009870854,0.0004693828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007980996,"about_ca_system_score_gemma":0.001347828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007698801,"about_ca_topic_score_gemma":0.007030062,"domain_scores_codex":[0.9983886,0.0009195275,0.0001189749,0.0002560229,0.0002196209,0.00009716542],"domain_scores_gemma":[0.9905501,0.006581896,0.0009083155,0.0006454279,0.0009279156,0.0003863943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00432272,0.0004930173,0.7457365,0.0001111177,0.0008903043,0.0002788656,0.0001999258,0.1863436,0.001160551,0.0004184724,0.002110037,0.0579349],"study_design_scores_gemma":[0.00008871139,0.001200289,0.06237031,0.00004939501,0.0002000534,0.0002670804,0.00008681371,0.9339744,0.0008472012,0.0005722279,0.0003079722,0.0000355593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822044,0.0002957749,0.01562063,0.000250351,0.00003340742,0.00007062196,0.0005618385,0.0001588083,0.000804187],"genre_scores_gemma":[0.9929616,0.000055218,0.005928743,0.00003667841,0.00001204681,0.00004756545,0.0007354014,0.00001471939,0.0002079405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00773309,"threshold_uncertainty_score":0.04089701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03602592502880732,"score_gpt":0.2970981557887561,"score_spread":0.2610722307599488,"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."}}