{"id":"W2611907634","doi":"10.1016/s2215-0366(17)30192-x","title":"Disentangling the heterogeneity of perinatal depression","year":2017,"lang":"en","type":"letter","venue":"The Lancet Psychiatry","topic":"Maternal Mental Health During Pregnancy and Postpartum","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Scopus; Mental health; Pregnancy; Medicine; Depression (economics); Psychiatry; Epidemiology; Global health; Low and middle income countries; Psychological intervention; Millennium Development Goals; MEDLINE; Developing country; Public health; Political science; Nursing; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002644722,0.0002214761,0.0004949818,0.0000248925,0.0003507138,0.00002720418,0.0006782547,0.0002567507,0.00005615791],"category_scores_gemma":[0.00001806938,0.0001060312,0.0001961921,0.00002587152,0.0001755428,0.00003242294,0.0001556667,0.001461342,0.00002919554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002301006,"about_ca_system_score_gemma":0.00007977178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003626075,"about_ca_topic_score_gemma":0.00001190386,"domain_scores_codex":[0.9986299,0.0001130193,0.0002925188,0.000245646,0.0003560249,0.0003629067],"domain_scores_gemma":[0.9979175,0.00006870639,0.0004024579,0.001546046,0.00002251786,0.00004281032],"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":[0.0007449739,0.00005511026,0.3426557,0.01540801,0.0001830108,0.0001945713,0.0002039608,8.303609e-7,0.000008754871,0.00006610523,0.6398429,0.0006360894],"study_design_scores_gemma":[0.002250731,0.0002741967,0.1387481,0.02739935,0.0005114122,0.001408817,0.00003623326,0.00004696384,0.001375724,0.001047077,0.8264733,0.0004280295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2172168,0.009028331,0.000002428976,0.7645921,0.004881202,0.0005891593,0.0001395646,0.00004458385,0.003505839],"genre_scores_gemma":[0.4492455,0.0008804367,0.0002296753,0.5148168,0.03146809,0.00008547509,0.0001281275,0.0000853199,0.003060576],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2497754,"threshold_uncertainty_score":0.6348885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04096942459394354,"score_gpt":0.3395607445824725,"score_spread":0.2985913199885289,"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."}}