{"id":"W4402112649","doi":"10.1176/appi.ajp.20240604","title":"Positioning rTMS Within a Sequential Treatment Algorithm of Depression","year":2024,"lang":"en","type":"editorial","venue":"American Journal of Psychiatry","topic":"Treatment of Major Depression","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Schlumberger (Canada); University of Toronto; Institute for Clinical Evaluative Sciences; Centre for Addiction and Mental Health","funders":"","keywords":"Depression (economics); Psychology; Algorithm; Medicine; Psychiatry; Computer science","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":[0.007667583,0.003658979,0.005188669,0.002951237,0.001841409,0.004668733,0.003705105,0.0139231,0.0113436],"category_scores_gemma":[0.03163496,0.001456063,0.003670648,0.001368996,0.001374723,0.00258225,0.0007410015,0.01734486,0.006386617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003049734,"about_ca_system_score_gemma":0.003086572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00288451,"about_ca_topic_score_gemma":0.007839501,"domain_scores_codex":[0.9959694,0.001110142,0.0007199704,0.0004019733,0.001593259,0.000205263],"domain_scores_gemma":[0.9791301,0.01153497,0.001114444,0.0004264834,0.006348633,0.00144538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004719503,0.00004911861,0.00009328944,0.0007916527,0.0001688128,0.0002653064,0.00001178245,0.0002209953,0.0001397301,0.0004352149,0.9740598,0.02329244],"study_design_scores_gemma":[0.00259382,0.0005086924,0.001827924,0.002199695,0.001583426,0.001276933,0.00006784247,0.003606702,0.0006239329,0.002977134,0.9826165,0.0001174264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001073963,0.005302557,0.0006878195,0.01906626,0.9729101,0.0000862368,0.00008426131,0.0001254635,0.001629855],"genre_scores_gemma":[0.0009523685,0.004191447,0.000610283,0.01125634,0.9788734,0.00007519782,0.0000477508,0.00004458494,0.003948655],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0139231,"threshold_uncertainty_score":0.04055053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006335025017792918,"score_gpt":0.3028637568381043,"score_spread":0.2965287318203114,"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."}}