{"id":"W2891397251","doi":"10.23889/ijpds.v3i4.658","title":"Depressive episodes, weight change, and incident diabetes in a Canadian community sample","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"CIDI; Depression (economics); Medicine; Population; Demography; Community health; Gerontology; Incidence (geometry); Weight change; Diabetes mellitus; Psychiatry; Weight loss; Obesity; Environmental health; Public health; National Comorbidity Survey","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001412838,0.0004767819,0.0006496716,0.001547387,0.002320293,0.001102134,0.001392353,0.0005227191,0.003191233],"category_scores_gemma":[0.003265231,0.0003762597,0.001287934,0.005470151,0.0004440258,0.0002838801,0.0007658212,0.0007013805,0.0002529272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01364779,"about_ca_system_score_gemma":0.0207239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9898736,"about_ca_topic_score_gemma":0.9897481,"domain_scores_codex":[0.998547,0.000114317,0.0001031636,0.0002779421,0.0006862358,0.0002712158],"domain_scores_gemma":[0.9981856,0.00009150111,0.0003520472,0.0001040747,0.0009214471,0.0003452159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000186242,0.00003848756,0.9877137,0.0001914692,0.000409037,0.00003595738,0.0002183124,0.0000988015,0.00007119514,0.00008659107,0.005436838,0.005513446],"study_design_scores_gemma":[0.00002946702,0.00001768692,0.9983237,0.00006094889,0.0001294319,0.0000217363,0.0001580358,0.000131266,0.00001593768,0.00002618223,0.001077717,0.000007817274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9187082,0.009670625,0.0004318056,0.001793294,0.0001281929,0.0003897684,0.06268489,0.00004762868,0.006145471],"genre_scores_gemma":[0.9707989,0.005294665,0.0009616893,0.0005852287,0.00005858203,0.0002462915,0.02044196,0.00001324554,0.001599593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01364779,"threshold_uncertainty_score":0.09902215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08705414557077543,"score_gpt":0.3666304833044011,"score_spread":0.2795763377336257,"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."}}