{"id":"W4206497009","doi":"10.1093/brain/awac009","title":"A neural network for tics: insights from causal brain lesions and deep brain stimulation","year":2022,"lang":"en","type":"review","venue":"Brain","topic":"Obsessive-Compulsive Spectrum Disorders","field":"Psychology","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; University of Calgary","funders":"National Institute of Mental Health; National Institute on Aging; H. Lundbeck A/S; Deutsches Zentrum für Luft- und Raumfahrt; Volkswagen Foundation; Charité – Universitätsmedizin Berlin; Deutsche Forschungsgemeinschaft; International Parkinson and Movement Disorder Society; BioMarin Pharmaceutical; EU Joint Programme – Neurodegenerative Disease Research; Berlin Institute of Health; Nancy Lurie Marks Family Foundation; National Institutes of Health; Medtronic","keywords":"Deep brain stimulation; Tics; Neuroscience; Brain stimulation; Stimulation; Neuroimaging; Psychology; Medicine; Pathology; Parkinson's disease","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":[0.001051292,0.0002323217,0.0002617417,0.002192219,0.0002070651,0.0006040173,0.0002892141,0.0003170795,0.001479074],"category_scores_gemma":[0.008229608,0.0001540743,0.0005964336,0.001818236,0.000443608,0.000939994,0.0004258436,0.0002822843,0.0001126913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005395092,"about_ca_system_score_gemma":0.0006904188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004425421,"about_ca_topic_score_gemma":0.01241671,"domain_scores_codex":[0.9995203,0.0002162388,0.00006910287,0.000114021,0.00005506509,0.00002525385],"domain_scores_gemma":[0.9965935,0.002020145,0.0008539567,0.0002099597,0.0002531277,0.00006918926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007719819,0.00007830265,0.7552423,0.004716399,0.002236639,0.003090122,0.001696043,0.0098228,0.01305583,0.0112812,0.002863549,0.1951448],"study_design_scores_gemma":[0.00004927734,0.0002711269,0.9211753,0.0007921152,0.001825636,0.004510594,0.001316682,0.02276574,0.002735136,0.03720646,0.007293279,0.00005867291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9205466,0.02656036,0.0398095,0.002661449,0.00004760426,0.000177464,0.004716828,0.0001175683,0.005362717],"genre_scores_gemma":[0.9898218,0.004375507,0.004458262,0.000108641,0.00002979441,0.00005466252,0.0009802066,0.0000102314,0.0001608637],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004425421,"threshold_uncertainty_score":0.008799314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04959237070687461,"score_gpt":0.3601128095511933,"score_spread":0.3105204388443187,"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."}}