{"id":"W2777454076","doi":"10.1177/0706743717748883","title":"Unpacking Major Depressive Disorder: From Classification to Treatment Selection","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Psychiatry","topic":"Treatment of Major Depression","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network; St. Michael's Hospital","funders":"","keywords":"Unpacking; Major depressive disorder; Psychology; Selection (genetic algorithm); Psychiatry; Medicine; Clinical psychology; Cognition; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001203846,0.0001423821,0.000214629,0.0001635432,0.001020878,0.0001482998,0.0002649631,0.00008179484,0.0001327085],"category_scores_gemma":[0.0001005784,0.00008852308,0.0001301825,0.00006109459,0.00006207837,0.0001382319,0.000009379069,0.0001855476,0.00004396385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000459826,"about_ca_system_score_gemma":0.001530823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0500084,"about_ca_topic_score_gemma":0.5850353,"domain_scores_codex":[0.9991129,0.00005076808,0.000263034,0.0001500134,0.0002048112,0.0002184532],"domain_scores_gemma":[0.9983734,0.00002941903,0.000437157,0.0005023386,0.0001306819,0.000527034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001757803,0.00007620617,0.9658117,0.000004667645,0.0002408292,0.00002690703,0.0003933648,0.00002640867,0.0005798956,0.000536296,0.003700341,0.02842757],"study_design_scores_gemma":[0.002280062,0.0005030968,0.9844258,0.0002369656,0.0004438433,0.0001395716,0.0002156165,0.00005093299,0.0005749644,0.002643373,0.008391277,0.00009446528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9213338,0.001281378,0.0001958685,0.07369944,0.001503867,0.0003208456,0.0000217046,0.00001000115,0.001633121],"genre_scores_gemma":[0.9948602,0.00002722227,0.003301938,0.0003036839,0.0009736084,0.000008492687,0.000007038514,0.00002353645,0.0004942711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5350269,"threshold_uncertainty_score":0.9563177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02653615662364658,"score_gpt":0.2948004648466073,"score_spread":0.2682643082229607,"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."}}