{"id":"W3153621800","doi":"10.1093/gerona/glab117","title":"Body Mass Index and Polygenic Risk for Alzheimer’s Disease Predict Conversion to Alzheimer’s Disease","year":2021,"lang":"en","type":"article","venue":"The Journals of Gerontology Series A","topic":"Diet and metabolism studies","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Aging; Canadian Institutes of Health Research; Genentech; National Institutes of Health; DoD Alzheimer's Disease Neuroimaging Initiative; H. Lundbeck A/S; Servier; GE Healthcare; BioClinica; Fujirebio US; Pfizer; Novartis Pharmaceuticals Corporation; Biogen; Roche; Eisai Incorporated; Takeda Pharmaceutical Company; AbbVie; Merck; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Disease; Alzheimer's disease; Body mass index; Index (typography); Polygenic risk score; Medicine; Gerontology; Biology; Genetics; Computer science; Internal medicine; Gene; Genotype","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":[0.0007160779,0.0002442878,0.0002247607,0.0004892808,0.0002988065,0.00050789,0.0002249213,0.0003581673,0.001563583],"category_scores_gemma":[0.003566418,0.0002012602,0.0004054843,0.0004646475,0.0002219243,0.0002417813,0.000321043,0.0005631042,0.0001641326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001285358,"about_ca_system_score_gemma":0.0001533786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004285367,"about_ca_topic_score_gemma":0.005220484,"domain_scores_codex":[0.9996673,0.0001720618,0.00002320308,0.00005483457,0.00004105334,0.00004164364],"domain_scores_gemma":[0.9984905,0.0005375143,0.0004483909,0.0002006873,0.00009038708,0.0002326462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001765725,0.00004059069,0.9974123,0.000003059302,0.0001121996,0.00005120052,0.00006192889,0.00003905497,0.000227072,0.00002601334,0.00003855773,0.001811523],"study_design_scores_gemma":[0.000002356321,0.00004396161,0.9995713,0.000001653745,0.00002974934,0.00007355474,0.00003075798,0.0001333393,0.0000281561,0.00004160836,0.00004256819,0.000001037988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992285,0.0002110031,0.00007692714,0.00004860733,0.00000391653,0.000001782321,0.00003398367,0.000001512313,0.000393749],"genre_scores_gemma":[0.9996771,0.00005768166,0.0000713117,0.00001165173,0.000004968523,0.00000115006,0.0000483497,6.578468e-7,0.0001271199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004285367,"threshold_uncertainty_score":0.008520842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04896715019468665,"score_gpt":0.3267751666996798,"score_spread":0.2778080165049931,"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."}}