{"id":"W4407735373","doi":"10.1007/s43657-024-00201-w","title":"Embracing Interpersonal Variability of Microbiome in Precision Medicine","year":2025,"lang":"en","type":"article","venue":"Phenomics","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"National Institute of Allergy and Infectious Diseases; National Institute on Aging; National Institutes of Health; Leona M. and Harry B. Helmsley Charitable Trust; Howard Hughes Medical Institute","keywords":"Microbiome; Precision medicine; Interpersonal communication; Computational biology; Biology; Medicine; Psychology; Bioinformatics; Genetics; Communication","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":[],"consensus_categories":[],"category_scores_codex":[0.0004028275,0.0000763678,0.0001558779,0.00007218716,0.00001920208,0.000002687215,0.0001280479,0.00008468307,0.00001748373],"category_scores_gemma":[0.0001022005,0.00007113208,0.00003244508,0.0001032137,0.0000738009,0.000001441372,0.0001002777,0.00007064568,0.000001512153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003766879,"about_ca_system_score_gemma":0.00009887505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008015972,"about_ca_topic_score_gemma":0.00007869944,"domain_scores_codex":[0.9993241,0.00005012736,0.0002646401,0.0002094079,0.00002549537,0.0001261769],"domain_scores_gemma":[0.9996473,0.00002631755,0.00005584704,0.0002094422,0.00003789538,0.00002321158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001365168,0.00005372975,0.006643416,0.00007619185,0.00001101955,1.628125e-7,0.0001536508,0.0000124775,0.990161,0.0006668479,0.0007161222,0.001368874],"study_design_scores_gemma":[0.006458703,0.0008624477,0.2923687,0.0009853919,0.00007514028,0.00001876002,0.000935278,0.0007291022,0.6281218,0.01554666,0.05318947,0.0007085893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909713,0.000315422,0.002029007,0.0003363918,0.000245784,0.0001232702,0.00001312506,0.000002985182,0.005962751],"genre_scores_gemma":[0.9984167,0.0000527376,0.0008907457,0.0003048586,0.00006207893,0.000002333228,0.00004392549,0.000005337,0.0002213097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3620392,"threshold_uncertainty_score":0.2900682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007243044838249161,"score_gpt":0.2846102880381159,"score_spread":0.2773672431998667,"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."}}