{"id":"W4386565976","doi":"10.1016/j.brs.2023.09.007","title":"Mood biomarkers of response to deep brain stimulation in depression measured with a sensing system","year":2023,"lang":"en","type":"letter","venue":"Brain stimulation","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Krembil Foundation; University of Toronto; University Health Network; Health Sciences Centre; Sunnybrook Hospital; Toronto Rehabilitation Institute; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation","keywords":"Deep brain stimulation; Neuroscience; Neuromodulation; Brain stimulation; Cingulum (brain); Stimulation; Medicine; Treatment-resistant depression; Psychology; Major depressive disorder; Internal medicine; Magnetic resonance imaging; Diffusion MRI; Radiology; Cognition; Fractional anisotropy; Parkinson's disease","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002179216,0.0002577878,0.0003026746,0.0005260078,0.0001182524,0.0005448021,0.000189816,0.0005678312,0.001446142],"category_scores_gemma":[0.001022758,0.00006720751,0.0002059045,0.0004248978,0.000188349,0.0002607335,0.0002636218,0.0003967278,0.0004694752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425302,"about_ca_system_score_gemma":0.00009653299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000196158,"about_ca_topic_score_gemma":0.000269628,"domain_scores_codex":[0.9997614,0.00005075408,0.0000360117,0.00004200016,0.00009555549,0.00001428139],"domain_scores_gemma":[0.9997296,0.0001072355,0.00006575164,0.00002192314,0.00005627035,0.00001916654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003175442,0.0003318196,0.09055632,0.001120837,0.0003225376,0.004830906,0.0006281008,0.001609598,0.5150017,0.001066479,0.005855635,0.3755006],"study_design_scores_gemma":[0.0002796046,0.00865373,0.5188574,0.0003708366,0.0008179856,0.03999933,0.0007835456,0.02104943,0.3715836,0.005020192,0.03230996,0.0002744459],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.9157225,0.01370507,0.05237778,0.003427141,0.0009426682,0.0002811581,0.001839048,0.0005147653,0.0111899],"genre_scores_gemma":[0.9772965,0.002380283,0.01681372,0.0009094191,0.0002383699,0.00009859068,0.0002870927,0.00002208238,0.001953862],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.001446142,"threshold_uncertainty_score":0.004837751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03028125077333408,"score_gpt":0.2880321064481022,"score_spread":0.2577508556747681,"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."}}