{"id":"W4389832338","doi":"10.1186/s42523-023-00286-0","title":"Noninvasive sampling of the small intestinal chyme for microbiome, metabolome and antimicrobial resistance genes in dogs, a proof of concept","year":2023,"lang":"en","type":"article","venue":"Animal Microbiome","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Cumming School of Medicine, University of Calgary; Canterbury Medical Research Foundation; International Microbiome Centre, University of Calgary; Animal Welfare Institute","keywords":"Metabolome; UniFrac; Microbiome; Feces; Beagle; Biology; Gastrointestinal tract; Gastroenterology; Metabolomics; Microbiology; Medicine; Bioinformatics; 16S ribosomal RNA; Bacteria; Genetics; 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":[0.001275007,0.0005199778,0.0005112862,0.0004111332,0.0001735691,0.0004785763,0.0004740542,0.0007261976,0.001111638],"category_scores_gemma":[0.0009876682,0.0003438691,0.0004343346,0.0001665665,0.0004752672,0.0005369062,0.0004686751,0.0005741176,0.0003717967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002315289,"about_ca_system_score_gemma":0.0004924656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005034061,"about_ca_topic_score_gemma":0.0008107206,"domain_scores_codex":[0.9994393,0.0001333758,0.00002610947,0.0001599268,0.0001905791,0.00005071465],"domain_scores_gemma":[0.9994661,0.00009060061,0.0001450996,0.0000621203,0.0001295207,0.0001065599],"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":[0.001206702,0.0004363099,0.01366817,0.0004805367,0.0001082394,0.0002598422,0.0001264277,0.0004911213,0.9550843,0.0002611427,0.001460548,0.02641645],"study_design_scores_gemma":[0.0004988977,0.02803822,0.1247885,0.0002043809,0.0006586069,0.006205902,0.0005640852,0.0171948,0.7857748,0.0009535747,0.03496141,0.0001568107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8207561,0.004357412,0.1666541,0.001151224,0.000312381,0.001167079,0.002961484,0.0008424876,0.001797668],"genre_scores_gemma":[0.8550993,0.003181862,0.1324915,0.0008566643,0.0001383219,0.001557041,0.003809264,0.00009958716,0.002766459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001275007,"threshold_uncertainty_score":0.006742954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712065950535234,"score_gpt":0.2744901765140266,"score_spread":0.2473695170086743,"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."}}