{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003993435,0.000656052,0.0005600103,0.0008205496,0.0002892576,0.0009034645,0.0002811763,0.0006096055,0.0002331358],"category_scores_gemma":[0.0006369778,0.000267921,0.0003755265,0.0007736812,0.0003215984,0.0003273623,0.0004435145,0.00035038,0.000210016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003897316,"about_ca_system_score_gemma":0.0003623207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008545252,"about_ca_topic_score_gemma":0.01187249,"domain_scores_codex":[0.9993827,0.00005348584,0.00004067433,0.0002974443,0.0001155368,0.0001100786],"domain_scores_gemma":[0.9996815,0.00008675514,0.00006925818,0.0000159456,0.00007954246,0.00006716575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004129666,0.0002332505,0.1284772,0.00009418062,0.00004983811,0.0001018807,0.000205125,0.001790933,0.8630822,0.00003317927,0.0000592295,0.005460033],"study_design_scores_gemma":[0.00003183317,0.001129098,0.7965961,0.00002465025,0.00009094548,0.0001870829,0.0007575586,0.02471702,0.1753854,0.00009542682,0.0009398452,0.00004498076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970893,0.00006652372,0.001370551,0.00001112547,0.000001693298,0.00005726249,0.001222106,0.00002429882,0.0001572845],"genre_scores_gemma":[0.9866963,0.0002366609,0.008469452,0.00003610277,0.000003831565,0.0001682807,0.003885731,0.00001298446,0.0004906511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008545252,"threshold_uncertainty_score":0.01699102,"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."}}