{"id":"W2397657821","doi":"10.1002/mds.26633","title":"Tractography‐Based Ventral Intermediate Nucleus Targeting: Novel Methodology and Intraoperative Validation","year":2016,"lang":"en","type":"article","venue":"Movement Disorders","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Toronto Western Hospital; Sunnybrook Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medial lemniscus; Tractography; Posterior commissure; Thalamus; Pyramidal tracts; Neuroscience; Anatomy; Magnetic resonance imaging; Red nucleus; Medicine; Diffusion MRI; Nucleus; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001449448,0.0001831956,0.0002420467,0.00009580923,0.00006923611,0.00001480793,0.00005111853,0.00007397748,0.0002824428],"category_scores_gemma":[0.0001292029,0.0001116286,0.00009544542,0.0001012095,0.0001617486,0.00007791448,0.00002791564,0.0000842639,0.00001029599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000276602,"about_ca_system_score_gemma":0.00001905178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003035421,"about_ca_topic_score_gemma":0.00001258633,"domain_scores_codex":[0.9989083,0.00008357312,0.0002223005,0.0003493397,0.0001462639,0.000290247],"domain_scores_gemma":[0.9994825,0.0001623337,0.00007375257,0.0001296387,0.00003038415,0.0001213761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001811722,0.003968935,0.535663,0.00009326902,0.0005798024,0.00004747683,0.0006006845,0.0000178799,0.3334604,0.002699481,0.004756304,0.116301],"study_design_scores_gemma":[0.03823303,0.00836844,0.7649466,0.000167176,0.0005983621,9.330967e-7,0.0008535688,0.0004823908,0.0844937,0.09676531,0.004093255,0.0009972025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738859,0.00008983246,0.01142638,0.01335468,0.0001449087,0.0005312323,0.00005612964,0.0000668826,0.0004440836],"genre_scores_gemma":[0.9890752,0.0002130714,0.001610834,0.008892872,0.00001938787,0.00006490397,0.00005076527,0.00001530831,0.00005759109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2489667,"threshold_uncertainty_score":0.4552083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0392342273509234,"score_gpt":0.2985228692679037,"score_spread":0.2592886419169803,"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."}}