{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008399436,0.0008408177,0.0005907344,0.001822421,0.0004499161,0.001044325,0.0003225204,0.000527575,0.0007085297],"category_scores_gemma":[0.001089958,0.0004201008,0.00101212,0.001362052,0.0002068585,0.0009864216,0.0006285944,0.0008963703,0.0003133092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003138294,"about_ca_system_score_gemma":0.0005557077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009963504,"about_ca_topic_score_gemma":0.002488579,"domain_scores_codex":[0.9997013,0.00007084306,0.00002626476,0.0001216517,0.00004008986,0.00003992047],"domain_scores_gemma":[0.9996854,0.0001077051,0.00006095122,0.00004257735,0.0000634871,0.000039876],"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":[0.0006344407,0.0001040774,0.04002289,0.001326838,0.0006288632,0.000472117,0.0006585124,0.006446868,0.9045762,0.001911992,0.0006243809,0.04259281],"study_design_scores_gemma":[0.0001047299,0.001887965,0.5010303,0.001070679,0.00203614,0.002298934,0.002841363,0.1634975,0.2343436,0.02035873,0.07018308,0.000347072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8437072,0.01025912,0.1142968,0.0005320712,0.0002567153,0.0001531228,0.02744743,0.0009549131,0.00239263],"genre_scores_gemma":[0.7837473,0.003929199,0.1738355,0.0003385586,0.00009255624,0.0001110194,0.0369209,0.0002767363,0.0007481996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001822421,"threshold_uncertainty_score":0.004442155,"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."}}