{"id":"W1989496014","doi":"10.1016/j.celrep.2015.03.049","title":"The Gut Microbiota of Rural Papua New Guineans: Composition, Diversity Patterns, and Ecological Processes","year":2015,"lang":"en","type":"article","venue":"Cell Reports","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":595,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Pacific Northwest National Laboratory; Laboratory Directed Research and Development; Battelle; U.S. Department of Energy","keywords":"Metacommunity; Ecology; Westernization; Biological dispersal; Microbiome; Biology; New guinea; Diversity (politics); Redress; Biodiversity; Geography; Population; Environmental health; Medicine; Bioinformatics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002771061,0.000195354,0.0001647607,0.0005091854,0.0003597884,0.0004390616,0.0001480872,0.000189112,0.0007270704],"category_scores_gemma":[0.0005459543,0.0001029102,0.00009223008,0.0003560469,0.0004218074,0.0002770173,0.0005028071,0.0001464539,0.00008683569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000217125,"about_ca_system_score_gemma":0.0002802746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008897047,"about_ca_topic_score_gemma":0.01727014,"domain_scores_codex":[0.9999049,0.00002965278,0.000005214248,0.00002660437,0.00001103417,0.00002248778],"domain_scores_gemma":[0.9998455,0.00002331954,0.00006831135,0.00001321488,0.00002526737,0.00002440988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003090304,0.00006771077,0.9280581,0.0001029641,0.00005377384,0.0002690983,0.00342186,0.0001034355,0.05174211,0.0001388495,0.00005441201,0.01567861],"study_design_scores_gemma":[0.000002087399,0.00007038288,0.997755,0.00001566613,0.00001078111,0.0001982086,0.0009520093,0.00008068629,0.000592752,0.00005230417,0.0002670051,0.000003059425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994012,0.0001660849,0.00007341224,0.00002111119,0.000001513949,0.000003596126,0.00003716936,8.275099e-7,0.0002950956],"genre_scores_gemma":[0.9990993,0.0002334719,0.0004046965,0.0000324398,0.000002929081,0.000008744845,0.00005172532,9.141872e-7,0.000165819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008897047,"threshold_uncertainty_score":0.01769048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376065090279407,"score_gpt":0.2343185362924546,"score_spread":0.2205578853896605,"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."}}