{"id":"W7052067656","doi":"","title":"Prediabetes and its associations with depressive symptoms, health behaviours, and clinical factors in an English community sample","year":2015,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research; Department of Epidemiology, Biostatistics and Occupational Health, McGill University; Government of the United Kingdom; University College London; McGill University","keywords":"Prediabetes; Diabetes mellitus; Incidence (geometry); Type 2 diabetes; Multinomial logistic regression; Logistic regression; Epidemiology; Longitudinal study; Depression (economics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001592454,0.0002194418,0.00040402,0.0006278142,0.0005248094,0.0007646077,0.0003699871,0.0003475981,0.001369937],"category_scores_gemma":[0.00439916,0.0003788531,0.0003707103,0.0009900969,0.000284413,0.0005656481,0.0008021272,0.0003634452,0.0002589135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003337465,"about_ca_system_score_gemma":0.0004371871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01685537,"about_ca_topic_score_gemma":0.02120812,"domain_scores_codex":[0.9993642,0.0001933739,0.0001101164,0.0001294171,0.0001172234,0.0000856894],"domain_scores_gemma":[0.9975582,0.0006303649,0.0008040468,0.000203285,0.0004818733,0.0003222332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001366593,0.0001236984,0.9950256,0.00004473474,0.00008736605,0.0001704564,0.002357014,0.00001813762,0.0001500729,0.00004066585,0.0004208542,0.001424681],"study_design_scores_gemma":[0.00001727684,0.00008681042,0.9971839,0.00003187868,0.00003845714,0.0001184225,0.002065318,0.0000874233,0.00002259725,0.00002393193,0.0003197071,0.000004383534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992888,0.00016126,0.00003062923,0.00006154912,0.000003902855,0.000009971936,0.0002443819,7.722551e-7,0.0001985606],"genre_scores_gemma":[0.9987735,0.0002534672,0.00007730046,0.0001356135,0.00001188163,0.00003101308,0.0003792051,0.000001647596,0.0003363904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01685537,"threshold_uncertainty_score":0.0335145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03123254924799965,"score_gpt":0.2936483295486558,"score_spread":0.2624157803006562,"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."}}