{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003594805,0.000128576,0.00007188907,0.00002240672,0.0002063554,0.0001710962,0.0007470488,0.0002038572,0.00001034394],"category_scores_gemma":[0.00006700201,0.00009528492,0.00004555106,0.00007097514,0.0000755943,0.000003775493,0.0005301561,0.0004249239,0.0000280907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001266228,"about_ca_system_score_gemma":0.00007023876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009735088,"about_ca_topic_score_gemma":0.00005476808,"domain_scores_codex":[0.9989999,0.0000411576,0.0001223701,0.0004486206,0.0001332721,0.0002546919],"domain_scores_gemma":[0.9988763,0.00003010213,0.00002270496,0.000994352,0.00002408877,0.00005249855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002993837,0.00002516197,0.001322568,0.00009639452,0.0002622631,0.00005425818,0.0007960043,0.000267372,0.5888582,0.001207074,0.3610921,0.04598863],"study_design_scores_gemma":[0.00006799091,0.00001884576,0.0006792363,0.00001518277,0.00002586,0.00002105151,0.00007881143,0.000922856,0.01638902,0.0001939573,0.9814428,0.0001443572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7194649,0.2466852,0.01010204,0.01020149,0.003367915,0.0004380335,0.0001682756,0.0002085781,0.009363508],"genre_scores_gemma":[0.9933428,0.0006942212,0.0005476543,0.001101312,0.001185989,0.000003341055,0.0002605005,0.00003888283,0.00282529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6203507,"threshold_uncertainty_score":0.3885606,"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."}}