{"id":"W2968227924","doi":"10.3389/fmicb.2019.02003","title":"The Gut Microbiome and Metabolome of Two Riparian Communities in the Amazon","year":2019,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"Genome Alberta; Leading Edge Endowment Fund; Genome Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Genome British Columbia","keywords":"Metabolome; Biology; Microbiome; Amazon rainforest; Ecology; Gut flora; Metagenomics; Amazonian; Niche; Gut microbiome; Human microbiome; Microbial ecology; Metabolomics; Genetics; Immunology; Bioinformatics","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":[0.000152,0.0002345237,0.0004229429,0.0006327243,0.0006200614,0.0005663853,0.0002041913,0.0003333697,0.001018174],"category_scores_gemma":[0.0004814464,0.0001987114,0.0002286346,0.0007000884,0.0004287588,0.0002747799,0.0008150918,0.0002809675,0.0001688613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002924937,"about_ca_system_score_gemma":0.0003795459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01146741,"about_ca_topic_score_gemma":0.02120406,"domain_scores_codex":[0.9997905,0.00003337982,0.00001188457,0.00007305058,0.00004395548,0.00004722031],"domain_scores_gemma":[0.9998122,0.00002164851,0.00005287005,0.00001306406,0.00004894267,0.00005124439],"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":[0.002754005,0.0002422637,0.3699105,0.0004212836,0.00030193,0.001506881,0.009529886,0.0001797677,0.5837234,0.0004762827,0.000313846,0.03063988],"study_design_scores_gemma":[0.00002621913,0.0002697988,0.989512,0.00002345657,0.00008805484,0.0009106999,0.002914758,0.0003297143,0.004016043,0.0002100386,0.001680841,0.0000184187],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998168,0.0004404711,0.0003622522,0.00007550938,0.000003437285,0.00001458087,0.0004890193,0.000007119436,0.0004395596],"genre_scores_gemma":[0.9972612,0.000331117,0.001248922,0.0001424973,0.000006056229,0.00001813042,0.0006143862,0.00001248307,0.0003653816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01146741,"threshold_uncertainty_score":0.02280134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005733052670393406,"score_gpt":0.2385745354775304,"score_spread":0.232841482807137,"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."}}