{"id":"W4288039173","doi":"10.1128/spectrum.02380-22","title":"Novel Insights into the Pig Gut Microbiome Using Metagenome-Assembled Genomes","year":2022,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge; Agriculture and Agri-Food Canada","funders":"Alberta Agriculture and Forestry","keywords":"Metagenomics; Biology; Microbiome; Feces; Microbiology; Prevotella; Firmicutes; Gut flora; Food science; Gene; Bacteria; Genetics; 16S ribosomal RNA; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004072813,0.0003701721,0.0003790353,0.00018176,0.001245803,0.00003829717,0.0008505684,0.0002038194,0.0003654343],"category_scores_gemma":[0.0000107988,0.0003010351,0.0002336083,0.0003637455,0.0002204102,0.000005402497,0.001009138,0.0004249739,0.00005627474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001941915,"about_ca_system_score_gemma":0.0003304086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003080904,"about_ca_topic_score_gemma":0.0004768854,"domain_scores_codex":[0.9976496,0.0002945013,0.0004470084,0.0008015312,0.00006235612,0.0007450593],"domain_scores_gemma":[0.9988196,0.00002382617,0.0002277056,0.0007904048,0.00004455635,0.00009385818],"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":[0.00008139307,0.0001388131,0.0003285707,0.00001197843,0.0001865863,0.000007464171,0.0005466783,0.0001621526,0.9962266,0.0002345839,0.00197443,0.0001007202],"study_design_scores_gemma":[0.0009752191,0.0004220069,0.0008553388,0.000003569628,0.00007039301,0.0007319379,0.0004459662,0.00002693716,0.3649039,0.0001329344,0.6309462,0.0004856783],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853528,0.01042878,0.0007946122,0.001675142,0.0008350417,0.0005086906,0.00008501233,0.00003523751,0.0002847505],"genre_scores_gemma":[0.9924973,0.000288407,0.001509556,0.0032789,0.0003303354,0.00004453768,0.0005791388,0.00006633905,0.001405548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6313227,"threshold_uncertainty_score":0.9999442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378769856731503,"score_gpt":0.2472191223181818,"score_spread":0.2334314237508667,"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."}}