{"id":"W2974159081","doi":"10.1002/bies.201900034","title":"Shifting Climates, Foods, and Diseases: The Human Microbiome through Evolution","year":2019,"lang":"en","type":"review","venue":"BioEssays","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McGill University","funders":"Canadian Institute for Advanced Research","keywords":"Microbiome; Biology; Adaptation (eye); Human microbiome; Disease; Host (biology); Evolutionary biology; Human health; Ecology; Human evolution; Genetics; Medicine; Neuroscience; Environmental health","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002014755,0.0003994916,0.0006850617,0.00004550892,0.0003285012,0.00007687866,0.0003656605,0.0004650876,0.00001628639],"category_scores_gemma":[0.00002245219,0.0002646997,0.0002956371,0.0001245415,0.0001663688,0.000004612553,0.0003456014,0.0002223576,0.00006258517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005665619,"about_ca_system_score_gemma":0.0002347993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000526029,"about_ca_topic_score_gemma":0.00001948656,"domain_scores_codex":[0.9982788,0.0001796788,0.0004241846,0.0006216947,0.00007684442,0.0004188267],"domain_scores_gemma":[0.9988974,0.00002589829,0.0003118514,0.0006550296,0.00003906612,0.00007077635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007307396,0.0009459117,0.002113314,0.2387931,0.00264329,0.00003006065,0.0006101307,9.297373e-7,0.1183854,0.02587285,0.1366402,0.4738917],"study_design_scores_gemma":[0.0001779891,0.00009999893,0.00008637155,0.00152707,0.0004160359,0.00004409663,0.00003072889,1.849048e-7,0.00002667607,0.0000609581,0.9971879,0.0003420272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003205252,0.9974782,0.00004334506,0.00005068946,0.0002902139,0.0007886668,0.000470443,0.00002143506,0.0005364188],"genre_scores_gemma":[0.00102485,0.9958647,0.00009460838,0.000140338,0.0004912865,0.00004147226,0.001817597,0.00006689726,0.0004582088],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8605477,"threshold_uncertainty_score":0.9999805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0506675371622784,"score_gpt":0.3560322599895717,"score_spread":0.3053647228272933,"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."}}