{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003055249,0.0003602311,0.0006023387,0.0006508019,0.003840787,0.0008017747,0.002566426,0.0002275352,0.000401986],"category_scores_gemma":[0.008371123,0.0002294986,0.0004134099,0.002158681,0.008605066,0.0007380323,0.00006058924,0.001075063,0.000003258956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001662162,"about_ca_system_score_gemma":0.003941854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001210064,"about_ca_topic_score_gemma":0.07117918,"domain_scores_codex":[0.9937112,0.001821059,0.001345159,0.0006847086,0.0007975801,0.001640314],"domain_scores_gemma":[0.9915956,0.004402614,0.001309279,0.0003571076,0.001168037,0.001167397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005045616,0.0002232185,0.9050526,0.00001889055,0.00006675475,0.004470929,0.001501785,0.002041643,0.000234334,0.01512014,0.01984699,0.05091818],"study_design_scores_gemma":[0.001883212,0.09303518,0.6528424,0.00007673587,0.0001853767,0.02981279,0.001785941,0.0006052167,0.0002750313,0.05223573,0.166291,0.0009713827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975253,0.01403799,0.00006521825,0.00569298,0.002935419,0.0002670918,0.0000392791,0.00001337481,0.001695641],"genre_scores_gemma":[0.9922529,0.001043486,0.003663797,0.002520236,0.0002998589,0.000009671724,4.550295e-7,0.00002118641,0.0001883941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2522102,"threshold_uncertainty_score":0.9999818,"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."}}