{"id":"W3035420179","doi":"10.1136/neurintsurg-2020-016224","title":"Deep venous communication in vein of Galen malformations: incidence, Imaging, and Implications for treatment","year":2020,"lang":"en","type":"article","venue":"Journal of NeuroInterventional Surgery","topic":"Vascular Malformations Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Toronto Western Hospital; Hospital for Sick Children","funders":"","keywords":"Medicine; Straight sinus; Radiology; Digital subtraction angiography; Superior sagittal sinus; Vein; Cerebral veins; Magnetic resonance imaging; Angiography; Surgery; Thrombosis","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":[0.0007908006,0.0002111317,0.0002678306,0.001651123,0.0003081673,0.001027053,0.0003554381,0.0004986235,0.0008506455],"category_scores_gemma":[0.007407598,0.0001324681,0.0001835534,0.001059026,0.0007725062,0.0009661977,0.0003909049,0.0004782979,0.0001532508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003060636,"about_ca_system_score_gemma":0.0004551089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005369426,"about_ca_topic_score_gemma":0.000528027,"domain_scores_codex":[0.9993512,0.0002253611,0.00008083966,0.00009608987,0.0001115012,0.0001349874],"domain_scores_gemma":[0.9968607,0.00116268,0.0013842,0.0001167848,0.0001995914,0.0002759174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007471158,0.00003508965,0.9777674,0.00004195458,0.00002109848,0.005305828,0.00009085354,0.0001176572,0.0003588918,0.0002209775,0.0002691748,0.01569644],"study_design_scores_gemma":[0.00001746768,0.0001514769,0.8778218,0.0002475191,0.00005870798,0.1161148,0.001213808,0.001141653,0.0005496781,0.001236124,0.001416782,0.00003014282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990523,0.006863651,0.0006227811,0.000429121,0.00002363641,0.000009999166,0.00008095691,0.00001056231,0.001436237],"genre_scores_gemma":[0.9977008,0.001660616,0.0004051167,0.00004623219,0.00006939076,0.000005638903,0.00006896503,0.000002948712,0.00004044568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001651123,"threshold_uncertainty_score":0.00418222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05440011401187596,"score_gpt":0.317002813547789,"score_spread":0.2626026995359131,"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."}}