{"id":"W3204848707","doi":"10.3390/ani11102859","title":"Species-Level Gut Microbiota Analysis after Antibiotic-Induced Dysbiosis in Horses","year":2021,"lang":"en","type":"article","venue":"Animals","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Firmicutes; Biology; Bacteroidetes; Gut flora; Dysbiosis; Illumina dye sequencing; Feces; Metagenomics; Microbiology; 16S ribosomal RNA; Bacteria; DNA sequencing; Zoology; Genetics; Gene; 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":[0.0003137232,0.0002471666,0.0004152172,0.0009093028,0.0002954499,0.0003561073,0.0001186692,0.0003546711,0.0009236539],"category_scores_gemma":[0.0005137008,0.0001698104,0.0002377826,0.0004342232,0.0002142725,0.0002864171,0.0002235197,0.0002600957,0.0002340644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002054207,"about_ca_system_score_gemma":0.0001467035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009569497,"about_ca_topic_score_gemma":0.001862043,"domain_scores_codex":[0.9997587,0.00004939741,0.00001942897,0.00006471044,0.00005951787,0.0000483863],"domain_scores_gemma":[0.9997485,0.00002916134,0.00009060184,0.00001409776,0.00007921991,0.00003842075],"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":[0.001306144,0.00007963039,0.06468818,0.0002757134,0.00007249461,0.0002332063,0.0003949019,0.00008939213,0.9190664,0.00002982997,0.0001252811,0.01363871],"study_design_scores_gemma":[0.000009686937,0.001671799,0.8730135,0.00006164351,0.000167014,0.0007703305,0.0006617507,0.0007181304,0.1204726,0.00009447215,0.002336091,0.000022875],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99722,0.001020299,0.0008620414,0.00003107216,0.00001146902,0.00003035906,0.0005151857,0.00001910496,0.0002905111],"genre_scores_gemma":[0.9935572,0.0008565891,0.00340705,0.00009179703,0.00001334852,0.00005962556,0.001140468,0.00001824555,0.0008556563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009569497,"threshold_uncertainty_score":0.003089964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02804745864579173,"score_gpt":0.2791813857124243,"score_spread":0.2511339270666326,"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."}}