{"id":"W2977702417","doi":"10.1093/neuros/nyz401","title":"A Proposed Grading Scale for Predicting Outcomes After Stereotactic Radiosurgery for Dural Arteriovenous Fistulas","year":2019,"lang":"en","type":"article","venue":"Neurosurgery","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Université de Sherbrooke","funders":"National Center for Advancing Translational Sciences; National Institute of General Medical Sciences; National Institutes of Health","keywords":"Radiosurgery; Medicine; Logistic regression; Grading (engineering); Grading scale; Recursive partitioning; Arteriovenous fistula; Surgery; Radiology; Internal medicine; Radiation therapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008506452,0.0009673946,0.0009362199,0.005709469,0.0004286974,0.001124954,0.001160399,0.0005732829,0.002373719],"category_scores_gemma":[0.02035643,0.000203569,0.00210575,0.002415266,0.0005362462,0.001409205,0.0009147231,0.0006685867,0.0005387381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009061132,"about_ca_system_score_gemma":0.001750115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0016875,"about_ca_topic_score_gemma":0.002941239,"domain_scores_codex":[0.9965883,0.001346055,0.0008575628,0.0002340282,0.000815897,0.0001581116],"domain_scores_gemma":[0.9874921,0.004944122,0.003395065,0.0003549114,0.003397062,0.0004166923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001216531,0.0003276672,0.8393782,0.001253357,0.0009989305,0.0001211486,0.0002877193,0.003268979,0.0009174477,0.0009409096,0.006928714,0.1443605],"study_design_scores_gemma":[0.001361239,0.005319604,0.9135802,0.001323525,0.002391729,0.001131036,0.001986893,0.05399787,0.001890499,0.005118548,0.01170189,0.0001969159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8673496,0.007889016,0.08371989,0.002345548,0.0007738515,0.00577064,0.0128863,0.0007029052,0.01856231],"genre_scores_gemma":[0.8918498,0.001329649,0.09757001,0.0001771339,0.0001569001,0.00242334,0.005828238,0.00003157038,0.0006333138],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008506452,"threshold_uncertainty_score":0.0449869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490120875521375,"score_gpt":0.2547121426064748,"score_spread":0.2398109338512611,"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."}}