{"id":"W4407934007","doi":"10.1016/j.brs.2024.12.060","title":"Identification of temporal targets for closed-loop personalized brain stimulation in psychiatry","year":2025,"lang":"en","type":"article","venue":"Brain stimulation","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Closed loop; Brain stimulation; Neuroscience; Identification (biology); Stimulation; Deep brain stimulation; Psychology; Medicine; Computer science; Biology; Internal medicine; Engineering; Control engineering","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":[0.0003346657,0.000271524,0.0002383337,0.0001978257,0.0001249653,0.0005233036,0.0003779055,0.0006249216,0.00392913],"category_scores_gemma":[0.0007579929,0.0001465805,0.0002442296,0.0001093095,0.0002925045,0.0003801544,0.0003547692,0.0006210178,0.0006540767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002986777,"about_ca_system_score_gemma":0.0002691605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003626314,"about_ca_topic_score_gemma":0.0008422045,"domain_scores_codex":[0.9999202,0.00002032007,0.000004592492,0.00001914367,0.00002264374,0.00001302508],"domain_scores_gemma":[0.9998599,0.0000799097,0.00001788006,0.000009835846,0.00001885735,0.00001364374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001072338,0.0001396292,0.001653519,0.001108938,0.0000652263,0.000367843,0.000206214,0.003316109,0.4547352,0.00768701,0.005567342,0.5240806],"study_design_scores_gemma":[0.0006614043,0.005878479,0.05688459,0.002313447,0.0005570947,0.008215057,0.001001726,0.1174438,0.5396143,0.08124954,0.1859206,0.0002599497],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1661744,0.1368589,0.6537742,0.01019538,0.002031042,0.0005591154,0.0006211526,0.001481546,0.0283043],"genre_scores_gemma":[0.8128941,0.03931494,0.1347347,0.002680129,0.0006449415,0.0004533206,0.0002688619,0.0001597427,0.008849256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00392913,"threshold_uncertainty_score":0.01314425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02197767274132981,"score_gpt":0.3349514702672799,"score_spread":0.3129737975259501,"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."}}