{"id":"W4206049563","doi":"10.1017/cjn.2021.278","title":"C.2 The use of magnetic resonance guided focused ultrasound for refractory psychiatric illness","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Obsessive-Compulsive Spectrum Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Medicine; Major depressive disorder; Neurocognitive; Anterior cingulate cortex; Orbitofrontal cortex; Magnetic resonance imaging; Functional magnetic resonance imaging; Psychiatry; Neuroscience; Psychology; Radiology; Cognition; Prefrontal cortex","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000359899,0.0002052984,0.0001934329,0.0003445113,0.0003333169,0.0002824221,0.0002529703,0.0004708953,0.008755297],"category_scores_gemma":[0.001334797,0.0000499937,0.0002366716,0.000158302,0.000283711,0.0001196862,0.0001745034,0.0003420971,0.001634125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004107749,"about_ca_system_score_gemma":0.0008033005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00291101,"about_ca_topic_score_gemma":0.006182583,"domain_scores_codex":[0.9998544,0.00004464824,0.00001469258,0.00001850493,0.00003451073,0.0000331566],"domain_scores_gemma":[0.9994749,0.0001821114,0.0001415891,0.00002491057,0.00006228565,0.0001141876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00269213,0.0008218885,0.1296967,0.001071995,0.0001847614,0.0112495,0.0003791105,0.0004074493,0.03678368,0.0008529758,0.01634729,0.7995126],"study_design_scores_gemma":[0.001314492,0.01842269,0.7556951,0.001586758,0.0004262486,0.09838625,0.001268911,0.002830205,0.02340474,0.001588594,0.09497717,0.00009878007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8805627,0.02866236,0.004230408,0.005290964,0.0004843615,0.0004766886,0.000492098,0.0003094538,0.079491],"genre_scores_gemma":[0.987062,0.004466929,0.002096304,0.001753586,0.0004462992,0.00009842381,0.0002126753,0.00002047836,0.003843207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008755297,"threshold_uncertainty_score":0.02928936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04442944847838077,"score_gpt":0.2979739171662054,"score_spread":0.2535444686878247,"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."}}