{"id":"W2072636222","doi":"10.3171/jns.2005.103.4.0642","title":"Testing the radiosurgery-based arteriovenous malformation score and the modified Spetzler—Martin grading system to predict radiosurgical outcome","year":2005,"lang":"en","type":"article","venue":"Journal of neurosurgery","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Radiosurgery; Arteriovenous malformation; Lesion; Central nervous system disease; Grading (engineering); Intracranial Arteriovenous Malformations; Nuclear medicine; Surgery; Radiology; Cerebral angiography; Radiation therapy; Angiography","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":[0.001048089,0.000353318,0.0002981898,0.00100009,0.0001998409,0.0003130217,0.0002668081,0.0003073754,0.003066555],"category_scores_gemma":[0.004163958,0.0001476015,0.0003592217,0.0002629062,0.0002211875,0.0004456273,0.0004406678,0.0002223822,0.0009017134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001671673,"about_ca_system_score_gemma":0.0001702163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007700158,"about_ca_topic_score_gemma":0.001144133,"domain_scores_codex":[0.9995475,0.0001294859,0.00006585293,0.00006218813,0.0001216322,0.00007322293],"domain_scores_gemma":[0.998284,0.0004580939,0.0006041743,0.0001014864,0.0002336911,0.0003184222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001571426,0.00004164444,0.9964806,0.000004070359,0.00002645916,0.0000384467,0.00001820409,0.00006841731,0.0003156349,0.000007158413,0.0001263973,0.002715811],"study_design_scores_gemma":[0.00004850015,0.0008189366,0.99632,0.000006229243,0.00003251321,0.0007538507,0.00006333501,0.001182713,0.000432468,0.00003231903,0.0003009452,0.000008253431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990454,0.0000692563,0.0002504892,0.00001597834,0.00001278402,0.00001999751,0.0001351029,0.000005980162,0.0004449026],"genre_scores_gemma":[0.9989647,0.00002647651,0.0004035789,0.00001475399,0.00001635567,0.0000234394,0.0003332909,0.000002348062,0.0002151071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003066555,"threshold_uncertainty_score":0.01025867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04666397896463868,"score_gpt":0.2580599876647316,"score_spread":0.2113960087000929,"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."}}