{"id":"W1997945733","doi":"10.1017/s1461145705006280","title":"Predictors of antidepressant response in clinical trials of transcranial magnetic stimulation","year":2005,"lang":"en","type":"review","venue":"The International Journal of Neuropsychopharmacology","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":256,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; National Center for Research Resources; National Institute of Mental Health; National Alliance for Research on Schizophrenia and Depression; Deutsches Krebsforschungszentrum","keywords":"Transcranial magnetic stimulation; Antidepressant; Confounding; Depression (economics); Dorsolateral prefrontal cortex; Clinical trial; Medicine; Major depressive disorder; Internal medicine; Psychology; Psychiatry; Prefrontal cortex; Stimulation; Mood; Anxiety; Cognition","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":[0.009938187,0.0008144885,0.005036139,0.001801382,0.0001408569,0.001072023,0.001064714,0.0009953333,0.002089565],"category_scores_gemma":[0.0397525,0.0004523154,0.002147779,0.003778293,0.0003042374,0.0007338137,0.000417351,0.0009918497,0.000304898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007838865,"about_ca_system_score_gemma":0.001270446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005406881,"about_ca_topic_score_gemma":0.001490226,"domain_scores_codex":[0.9924518,0.003648267,0.002054354,0.0004799707,0.001273964,0.00009159423],"domain_scores_gemma":[0.9380907,0.04936792,0.009521312,0.0005978862,0.002005106,0.0004170301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.004608985,0.0001061357,0.06010366,0.1070307,0.01489001,0.0004916803,0.0001755187,0.001215134,0.0005876308,0.0006176178,0.006082232,0.8040907],"study_design_scores_gemma":[0.008007135,0.005682963,0.5350565,0.1566434,0.1365749,0.006702352,0.0006715622,0.008845438,0.002599781,0.005946376,0.1329813,0.0002882236],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004271507,0.9945575,0.0002804434,0.000330619,0.00008907879,0.00004341308,0.0001153154,0.00000697944,0.0003051986],"genre_scores_gemma":[0.09728682,0.8990132,0.001868817,0.0003840457,0.0004092359,0.0002836046,0.0005519602,0.00000757165,0.0001948177],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009938187,"threshold_uncertainty_score":0.05255878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2284136561654912,"score_gpt":0.5096360144386093,"score_spread":0.2812223582731181,"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."}}