{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003073273,0.0002220514,0.0003914204,0.0001654036,0.00008860559,0.00001448101,0.0003248978,0.0001767364,0.000003925584],"category_scores_gemma":[0.00007719249,0.0001887746,0.0001486601,0.0005145358,0.000386744,0.000006197228,0.0002741381,0.0001023359,0.000001152245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001888151,"about_ca_system_score_gemma":0.0002192307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008420517,"about_ca_topic_score_gemma":0.000502394,"domain_scores_codex":[0.9984913,0.00006516538,0.0005187948,0.0004574526,0.00004546342,0.0004218329],"domain_scores_gemma":[0.9991446,0.0000501908,0.00028984,0.0002946502,0.0001743213,0.00004646434],"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":[0.0002788337,0.00007227487,0.001574076,0.0004688794,0.00004341236,0.000001639866,0.000223977,0.000007523482,0.9957812,0.00008063814,0.001254901,0.0002126239],"study_design_scores_gemma":[0.00109258,0.0002585929,0.01228591,0.0002186657,0.00003123334,0.00004968644,0.00008878152,0.000003586528,0.9794344,0.000024615,0.00631093,0.0002010672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958198,0.002069454,0.0001950016,0.0003625832,0.0001172247,0.0007295577,0.0006741761,0.000009917991,0.0000222948],"genre_scores_gemma":[0.9949299,0.0001466756,0.004072914,0.0001416157,0.00007101883,0.00002323931,0.0001949443,0.00003514091,0.0003846253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01634687,"threshold_uncertainty_score":0.7698005,"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."}}