{"id":"W2946583781","doi":"10.1002/bies.201900007","title":"Multidisciplinarity in Microbiome Research: A Challenge and Opportunity to Rethink Causation, Variability, and Scale","year":2019,"lang":"en","type":"review","venue":"BioEssays","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Canadian Institute for Advanced Research","funders":"Agence Nationale de la Recherche; National Institute of General Medical Sciences; Canadian Institute for Advanced Research; Foundation for the National Institutes of Health","keywords":"Microbiome; Field (mathematics); Causation; Multidisciplinary approach; Engineering ethics; Ecology; Scale (ratio); Data science; Environmental ethics; Sociology; Epistemology; Biology; Social science; Computer science; Geography; Engineering; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01029518,0.001062981,0.002017847,0.003976942,0.001220348,0.004360017,0.001862386,0.003955356,0.001457688],"category_scores_gemma":[0.01295535,0.0004594224,0.0009860989,0.004441347,0.009200403,0.01006855,0.003345881,0.009287504,0.0008544518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002818107,"about_ca_system_score_gemma":0.00589662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002573902,"about_ca_topic_score_gemma":0.004592492,"domain_scores_codex":[0.9958606,0.002071807,0.0002999327,0.0004327252,0.001168949,0.0001659352],"domain_scores_gemma":[0.9808691,0.01606957,0.0005945479,0.00051996,0.001483807,0.0004629513],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005918567,0.00004061767,0.0006953929,0.01159944,0.0002249291,0.000280365,0.001686082,0.0004627556,0.0005496917,0.1680712,0.06774788,0.7485825],"study_design_scores_gemma":[0.000008455152,0.00005197147,0.0008560303,0.008121713,0.00005545958,0.0006722386,0.0009788143,0.0001122177,0.000141317,0.07914156,0.9098161,0.00004406662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006194419,0.9874197,0.0005634703,0.009471831,0.001835312,0.00000209859,0.000004403814,0.000005357978,0.0006359577],"genre_scores_gemma":[0.001930331,0.9876676,0.001187497,0.004977461,0.003595154,0.00001304131,0.00001144683,0.000009362196,0.0006080585],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9897048,"threshold_uncertainty_score":0.05444676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2229538511253295,"score_gpt":0.4464506141839649,"score_spread":0.2234967630586354,"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."}}