{"id":"W2052201819","doi":"10.1016/j.vetmic.2008.12.019","title":"Characterization and quantification of feline fecal microbiota using cpn60 sequence-based methods and investigation of animal-to-animal variation in microbial population structure","year":2008,"lang":"en","type":"article","venue":"Veterinary Microbiology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Biology; Feces; Firmicutes; Population; Gut flora; Zoology; Microbiology; Genetics; Gene; 16S ribosomal RNA; Immunology","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":[0.0004533041,0.000400203,0.0003882482,0.001033492,0.0004402225,0.0004405712,0.0002400329,0.0006591034,0.0007377867],"category_scores_gemma":[0.0008866582,0.0001831003,0.0002853282,0.0005645625,0.0003762435,0.0002921096,0.0004009777,0.0003787513,0.0003727805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000260304,"about_ca_system_score_gemma":0.0002635904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003708831,"about_ca_topic_score_gemma":0.005886901,"domain_scores_codex":[0.999576,0.00005724217,0.00003246441,0.0001712552,0.00009994214,0.00006305064],"domain_scores_gemma":[0.9995108,0.00008806882,0.0001172292,0.00005301793,0.0001440785,0.00008688545],"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":[0.0001489666,0.00004576483,0.01308425,0.00002941473,0.00001126255,0.0000278347,0.0001078119,0.00006001766,0.9814708,0.00004326734,0.00002301301,0.004947734],"study_design_scores_gemma":[0.00001844427,0.0007510636,0.5555122,0.00002441938,0.00006009291,0.000643262,0.0002327877,0.003513807,0.4368954,0.0001722444,0.002153784,0.0000224457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902034,0.0003070874,0.007622885,0.00003025305,0.00001131117,0.00004833944,0.0007279716,0.00002828189,0.001020525],"genre_scores_gemma":[0.9727595,0.0003780526,0.02265253,0.00008158857,0.00001540643,0.0001262653,0.002378546,0.00003529793,0.001572818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003708831,"threshold_uncertainty_score":0.007374525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06404672614028359,"score_gpt":0.3443580602979184,"score_spread":0.2803113341576349,"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."}}