{"id":"W2964175815","doi":"10.1002/hbm.24725","title":"A multivariate neuroimaging biomarker of individual outcome to transcranial magnetic stimulation in depression","year":2019,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; Toronto Western Hospital; University of Toronto","funders":"National Health and Medical Research Council; Cognitive Neuroscience Society; Medical Research Council Canada; Society for Neuroscience; BrainsWay; Canadian Institutes of Health Research; MagVenture","keywords":"Major depressive disorder; Dorsolateral prefrontal cortex; Neuroimaging; Psychology; Transcranial magnetic stimulation; Prefrontal cortex; Functional magnetic resonance imaging; Default mode network; Neuroscience; Antidepressant; Medicine; Stimulation; Hippocampus; Cognition","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004250179,0.000223646,0.0003537907,0.0005949036,0.0001240366,0.0000524808,0.0003181889,0.00006472562,0.000326352],"category_scores_gemma":[0.0004554948,0.0002330298,0.00008518416,0.0007047795,0.00006893291,0.0001840888,0.0001045484,0.0001710556,0.0000633373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002719854,"about_ca_system_score_gemma":0.00001360821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008114358,"about_ca_topic_score_gemma":0.00001501837,"domain_scores_codex":[0.9975942,0.000244846,0.0006939026,0.0005960325,0.0005077798,0.0003632721],"domain_scores_gemma":[0.9987267,0.0007466009,0.0001259633,0.0002921378,0.00003645296,0.0000721391],"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":[0.0000536491,0.00006455365,0.1175867,0.00005733879,0.000002333526,0.00000704234,0.003428133,0.003152654,0.8726859,0.0002495141,0.000012921,0.002699303],"study_design_scores_gemma":[0.003060184,0.0001149602,0.9893522,0.0001226438,0.00001002443,0.000002924137,0.0001034791,0.005834542,0.0006229225,0.0003226895,0.0002148609,0.0002386035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928663,0.00002259899,0.004032774,0.0003910669,0.0002191044,0.001018846,0.00001519575,0.00008908984,0.001345012],"genre_scores_gemma":[0.9979452,4.604076e-7,0.00105971,0.0007656676,0.00002893079,0.00002210614,0.000002819254,0.00003217776,0.0001429008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.872063,"threshold_uncertainty_score":0.9502679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09610260538035481,"score_gpt":0.3365754388529105,"score_spread":0.2404728334725557,"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."}}