{"id":"W4213375238","doi":"10.1371/journal.pbio.3001536","title":"Public human microbiome data are dominated by highly developed countries","year":2022,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":215,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Biology; Microbiome; Human microbiome; Data science; Computational biology; Evolutionary biology; Bioinformatics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003415865,0.0005510077,0.001117049,0.004409069,0.001206706,0.003432364,0.0007383684,0.0005065437,0.01631755],"category_scores_gemma":[0.01964409,0.0003071762,0.0005077266,0.02552709,0.0008099847,0.001731436,0.003368011,0.0008536958,0.006306294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007951645,"about_ca_system_score_gemma":0.002726663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01725131,"about_ca_topic_score_gemma":0.01994628,"domain_scores_codex":[0.9939208,0.001940076,0.0007791487,0.001095062,0.001715256,0.0005496392],"domain_scores_gemma":[0.9836084,0.004995773,0.004938065,0.002793023,0.003015592,0.0006491059],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008776173,0.0001240584,0.44342,0.007294365,0.0009168323,0.0006734777,0.003591071,0.001026564,0.003077009,0.01052124,0.2576321,0.2708457],"study_design_scores_gemma":[0.00005160947,0.00005618039,0.4290909,0.002164447,0.000243049,0.0007243248,0.003568129,0.0003997173,0.00243987,0.003327547,0.5578639,0.00007040541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1188521,0.01522023,0.007727466,0.003993914,0.0004923077,0.0003260572,0.7889126,0.0007155658,0.06375983],"genre_scores_gemma":[0.4367921,0.01555341,0.01579928,0.004865866,0.0004002361,0.001541811,0.5152706,0.0006388068,0.009137858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9965841,"threshold_uncertainty_score":0.0545876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06200078194156678,"score_gpt":0.2927682718914814,"score_spread":0.2307674899499146,"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."}}