{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010546,0.0002928349,0.000648259,0.0007332206,0.001424251,0.001482514,0.0004091326,0.005965085,0.005234681],"category_scores_gemma":[0.01006192,0.0002304151,0.0004013268,0.0006946033,0.0006174954,0.001242036,0.0004231798,0.005817524,0.001889237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564918,"about_ca_system_score_gemma":0.001465199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008682091,"about_ca_topic_score_gemma":0.01346332,"domain_scores_codex":[0.999172,0.000330928,0.0001092349,0.00009646825,0.0001918918,0.00009950439],"domain_scores_gemma":[0.9967102,0.001918393,0.0002294391,0.0001040636,0.0007108808,0.0003270652],"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":[0.0004110385,0.0001449737,0.05119303,0.0001606716,0.00009088385,0.02442445,0.000394296,0.0001163178,0.0007398845,0.003979709,0.8546579,0.06368674],"study_design_scores_gemma":[0.0005045105,0.0005042286,0.1493919,0.002694942,0.0004634283,0.122948,0.003405233,0.003018793,0.001641777,0.04889283,0.6663539,0.0001803482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01131682,0.005603257,0.0001634404,0.9631854,0.007800239,0.00001259389,0.0002511154,0.00003507253,0.01163205],"genre_scores_gemma":[0.2394087,0.01164376,0.001025662,0.6561868,0.06752045,0.00007028967,0.0003254404,0.00005199504,0.02376688],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.008682091,"threshold_uncertainty_score":0.01751179,"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."}}