{"id":"W3005301098","doi":"10.1017/s1041610219001741","title":"Biomarkers intersection between depression, diabetes, and cognitive impairment","year":2020,"lang":"en","type":"letter","venue":"International Psychogeriatrics","topic":"Diet and metabolism studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Cognitive impairment; Depression (economics); Diabetes mellitus; Medicine; Intersection (aeronautics); Dementia; Cognition; Clinical psychology; Psychiatry; Internal medicine; Disease; Endocrinology; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001123619,0.0003562901,0.0005312059,0.0003831776,0.0000712749,0.00007078094,0.0001492838,0.0003583625,0.0001233815],"category_scores_gemma":[0.0001955218,0.0003152084,0.0002090383,0.0002192226,0.0001011083,0.00009223667,0.0001511464,0.0008714104,0.00006827994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008441002,"about_ca_system_score_gemma":0.00005611293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001203071,"about_ca_topic_score_gemma":6.436787e-7,"domain_scores_codex":[0.9980307,0.00003478768,0.0004316263,0.00063303,0.0005885129,0.0002813336],"domain_scores_gemma":[0.9989898,0.0001823419,0.0002678394,0.0001434357,0.0002847826,0.0001318077],"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":[0.0001401334,0.00003826244,0.1043275,0.0001469881,0.001781365,0.0001007487,0.0001696707,1.469958e-8,0.00005186437,0.000002044456,0.8818778,0.01136365],"study_design_scores_gemma":[0.00202037,0.0002123364,0.1647206,0.0003517489,0.001181004,0.00001221178,0.00009965264,0.00001191238,0.00007149963,0.0002679167,0.8307024,0.0003483832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.07619925,0.003485299,0.0003768019,0.8936223,0.01117349,0.001228201,0.0008712538,0.0002508812,0.01279249],"genre_scores_gemma":[0.2941275,0.001595269,0.0005828819,0.6658266,0.03161862,0.0001749253,0.003630223,0.0001625524,0.002281462],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2277957,"threshold_uncertainty_score":0.99993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678294688863623,"score_gpt":0.2945327046252686,"score_spread":0.2777497577366324,"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."}}