{"id":"W3203965477","doi":"10.1016/j.heliyon.2021.e08131","title":"Prediction of bacterial functional diversity in clay microcosms","year":2021,"lang":"en","type":"article","venue":"Heliyon","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nuclear Waste Management Organization; Toronto Metropolitan University; Lallemand (Canada); University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Nuclear Waste Management Organization","keywords":"Firmicutes; Microcosm; Proteobacteria; Microorganism; Microbial population biology; Biology; Microbial consortium; Microbiology; 16S ribosomal RNA; Environmental chemistry; Chemistry; Bacteria; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005742554,0.00004509924,0.00006502811,0.00002042554,0.00003920911,0.000003015904,0.0000332684,0.00009259719,0.000148165],"category_scores_gemma":[0.00001130916,0.00004922029,0.00003475756,0.00004871663,0.00001789655,0.000001722486,0.0001148689,0.00004362085,0.000006501722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001368719,"about_ca_system_score_gemma":0.00008295781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001211651,"about_ca_topic_score_gemma":0.000113789,"domain_scores_codex":[0.9995899,0.00002932031,0.0001033032,0.0001430833,0.00004297937,0.00009143374],"domain_scores_gemma":[0.9997935,0.000002468617,0.00002912771,0.00009728783,0.00005319789,0.00002446343],"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":[0.0000786233,0.00005595039,0.03353184,0.00005772781,0.000006962791,0.000001668576,0.00003487121,0.000004769781,0.9650044,0.00001356591,0.001054225,0.0001553668],"study_design_scores_gemma":[0.0006144439,0.00007696685,0.3538895,0.00002818433,0.000004888928,0.00001173418,0.00003469797,9.996907e-7,0.6276948,0.000008842197,0.01759022,0.0000447829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983276,0.0005930621,0.000148063,0.00006249019,0.0002938635,0.00004508386,0.00006705114,0.000002891042,0.0004599618],"genre_scores_gemma":[0.9981385,0.0005829001,0.0001544136,0.0001173373,0.0001736693,0.00000141558,0.0004636144,0.000003992244,0.0003641611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3373097,"threshold_uncertainty_score":0.2007145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312546844778349,"score_gpt":0.2292744962408178,"score_spread":0.2061490277930343,"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."}}