{"id":"W2080551460","doi":"10.1227/neu.0b013e31820c6cbe","title":"Three-Dimensional In Vivo Modeling of Vestibular Schwannomas and Surrounding Cranial Nerves With Diffusion Imaging Tractography","year":2011,"lang":"en","type":"article","venue":"Neurosurgery","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto; Toronto Western Hospital","funders":"","keywords":"Medicine; Tractography; Magnetic resonance imaging; Diffusion MRI; Cranial nerves; Anatomy; Vestibular system; Facial nerve; Trigeminal nerve; Neuronavigation; Vestibulocochlear nerve; Radiology","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":[0.0002689896,0.0003984766,0.000163355,0.0003970191,0.0001493057,0.0004531721,0.0003057043,0.0004223959,0.0007965204],"category_scores_gemma":[0.0004916694,0.0002942367,0.0004391544,0.0002112737,0.0002439256,0.0002418004,0.0003108979,0.000187502,0.0001735228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004364199,"about_ca_system_score_gemma":0.0006345511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006007171,"about_ca_topic_score_gemma":0.007624298,"domain_scores_codex":[0.9999442,0.00001772874,0.000003846708,0.0000104304,0.00001898307,0.000004893156],"domain_scores_gemma":[0.9998655,0.000064377,0.0000289198,0.00001519642,0.00001700075,0.000008846417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001775029,0.00006795599,0.006410328,0.00008993146,0.00006298035,0.0005947163,0.0003559784,0.784329,0.1855151,0.001462739,0.0002764898,0.02065733],"study_design_scores_gemma":[0.00001177889,0.0000781472,0.003885342,0.000008790353,0.00002320205,0.0003643711,0.00004526869,0.9776036,0.0161229,0.0007094298,0.001126852,0.00002031661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6058356,0.0002797445,0.3912956,0.0001199673,0.00001539757,0.00007282933,0.0002572842,0.0005452879,0.001578338],"genre_scores_gemma":[0.9028378,0.0003570986,0.09503491,0.00001913059,0.000007219817,0.0001127464,0.0001893408,0.00009782187,0.001343894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006007171,"threshold_uncertainty_score":0.01194441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184010374465215,"score_gpt":0.2268725842464365,"score_spread":0.1950324805017843,"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."}}