{"id":"W4388537725","doi":"10.1093/dnares/dsad024","title":"Metagenomic Thermometer","year":2023,"lang":"en","type":"article","venue":"DNA Research","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Dalian Institute of Chemical Physics; Japan Science and Technology Agency; National Bioscience Database Center; Japan Society for the Promotion of Science","keywords":"Metagenomics; Thermometer; Biology; Computational biology; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009510551,0.00005512014,0.00006417188,0.000128232,0.0001246739,0.00002333224,0.000198462,0.0000797061,0.0001300196],"category_scores_gemma":[0.00006094459,0.00004753471,0.00004439694,0.0002899851,0.00006833323,9.541742e-7,0.0001861869,0.0001291779,0.001660288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001244049,"about_ca_system_score_gemma":0.00008658695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002616788,"about_ca_topic_score_gemma":0.00001765256,"domain_scores_codex":[0.9990095,0.0001336673,0.0000814848,0.0002281356,0.0001357696,0.0004114649],"domain_scores_gemma":[0.9995247,0.00002005054,0.000009455918,0.000303488,0.00006630891,0.00007597432],"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":[0.00001740859,0.0000106239,0.0003620413,0.00001178279,0.00001485929,0.000004833197,0.00003939532,8.471908e-7,0.9524317,0.00008971359,0.04511682,0.001900028],"study_design_scores_gemma":[0.0003460361,0.0002395072,0.0399901,0.000005211183,0.000002826776,0.000006526594,0.0001421461,0.00002244835,0.3440504,0.0002282707,0.6148371,0.0001293888],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934068,0.0002735709,0.00001059023,0.0006723421,0.00006711902,0.0001376909,0.00001122161,0.00001804115,0.00540258],"genre_scores_gemma":[0.9825212,0.0003526102,0.00005842147,0.0001273549,0.0001862317,0.00002144292,0.00009798879,0.00001882147,0.01661592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6083812,"threshold_uncertainty_score":0.999117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1419441837301624,"score_gpt":0.4413469501838619,"score_spread":0.2994027664536995,"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."}}