{"id":"W2973200927","doi":"10.3171/2019.6.spine19487","title":"Lateral decubitus digital subtraction myelography to identify spinal CSF–venous fistulas in spontaneous intracranial hypotension","year":2019,"lang":"en","type":"article","venue":"Journal of Neurosurgery Spine","topic":"Neurosurgical Procedures and Complications","field":"Medicine","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Myelography; Leak; Prone position; Fistula; Radiology; Intracranial Hypotension; Digital subtraction angiography; Surgery; Anesthesia; Magnetic resonance imaging; Spinal cord; 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":[0.0003472877,0.0005952507,0.0003294368,0.001035183,0.0002081806,0.0003657788,0.0001945087,0.0003671954,0.001345823],"category_scores_gemma":[0.001942517,0.0002361482,0.0001695534,0.0003576437,0.000333424,0.000366811,0.0003617626,0.0003288343,0.0003233126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403093,"about_ca_system_score_gemma":0.0002521596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000479493,"about_ca_topic_score_gemma":0.001107932,"domain_scores_codex":[0.9998016,0.00006383393,0.00002733388,0.00003042831,0.00003973398,0.00003720472],"domain_scores_gemma":[0.9992755,0.0002073214,0.0002110972,0.00004266727,0.00007581719,0.0001876891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005544644,0.00009222818,0.968903,0.00003060201,0.00003179364,0.01199116,0.0001533257,0.00008532494,0.009128026,0.00001773952,0.0001671209,0.008845262],"study_design_scores_gemma":[0.00009734539,0.00200105,0.8871629,0.00005563419,0.00006557055,0.1022342,0.0006877728,0.00122999,0.005872375,0.00006522877,0.0005075593,0.00002046287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988034,0.0002732635,0.000261325,0.00002675485,0.000007796388,0.00001115656,0.00002463696,0.00001007488,0.0005816876],"genre_scores_gemma":[0.9993908,0.0001032936,0.0003561485,0.0000257196,0.00001123688,0.000004971997,0.00003530985,0.000001521082,0.00007097305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001345823,"threshold_uncertainty_score":0.004502177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457356515743862,"score_gpt":0.2859982387659474,"score_spread":0.2714246736085087,"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."}}