{"id":"W4405375014","doi":"10.1038/s43587-024-00775-0","title":"The CALERIE Genomic Data Resource","year":2024,"lang":"en","type":"article","venue":"Nature Aging","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Children's Hospital; Pacific Centre for Reproductive Medicine; University of British Columbia; Canadian Institute for Advanced Research","funders":"National Cancer Institute; National Institute on Aging; Dartmouth College; Canadian Institute for Advanced Research; U.S. Department of Health and Human Services","keywords":"Biobank; Biology; Randomized controlled trial; Bioinformatics; Computational biology; DNA methylation; Genomics; Genome; Genetics; Medicine; Internal medicine; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003102408,0.001691302,0.00314055,0.009670226,0.001431826,0.00339456,0.004871958,0.001858223,0.3642038],"category_scores_gemma":[0.01650807,0.001314879,0.001161312,0.01625719,0.0006224289,0.002008037,0.002921649,0.002299086,0.2832606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009698375,"about_ca_system_score_gemma":0.003898867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196103,"about_ca_topic_score_gemma":0.02173051,"domain_scores_codex":[0.9982723,0.000357466,0.0001994543,0.0003780501,0.0005879605,0.0002047466],"domain_scores_gemma":[0.9917873,0.00325324,0.0005740628,0.001779756,0.001583843,0.001021957],"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":[0.0002796744,0.00004444873,0.0005537924,0.00160391,0.00007783569,0.00009269038,0.00006685571,0.0003511873,0.001640176,0.003013922,0.974395,0.01788041],"study_design_scores_gemma":[0.0002905976,0.00002104749,0.002317171,0.0002694261,0.00008027832,0.00009251687,0.00004420791,0.0005379264,0.001747755,0.005997213,0.9885334,0.00006846168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001549742,0.0002686878,0.002819584,0.0001886527,0.00007902857,0.00006736087,0.9822201,0.006265373,0.007936335],"genre_scores_gemma":[0.001854239,0.0004999089,0.007371608,0.0003264397,0.00006172842,0.000439079,0.9816933,0.003845965,0.003907648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3642038,"threshold_uncertainty_score":0.9068862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043901923620676,"score_gpt":0.2687353099679964,"score_spread":0.2582962907317896,"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."}}