{"id":"W4365141405","doi":"10.1093/ofid/ofad195","title":"Principles and Terminology for Host–Microbiome–Drug Interactions","year":2023,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Calgary; University Health Network","funders":"","keywords":"Microbiome; Drug; Medicine; Terminology; Computational biology; Gut microbiome; Function (biology); Psychological intervention; Bioinformatics; Pharmacology; Biology; Evolutionary biology; Psychiatry","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":[0.008852772,0.001741099,0.00170815,0.005020859,0.002154178,0.004978895,0.003516289,0.004471618,0.005996122],"category_scores_gemma":[0.0104111,0.0005812847,0.002148275,0.004722731,0.01616024,0.006375422,0.003590659,0.007091586,0.003955381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002731899,"about_ca_system_score_gemma":0.002991116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00183599,"about_ca_topic_score_gemma":0.001210812,"domain_scores_codex":[0.9906335,0.004921359,0.001387545,0.0008770479,0.001731946,0.0004485897],"domain_scores_gemma":[0.9931303,0.004223982,0.001119767,0.0004492946,0.0007921061,0.0002845063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005695477,0.00003915486,0.0004180503,0.001002181,0.00003836222,0.0004504074,0.001880075,0.0006023669,0.0008706235,0.9342664,0.02443784,0.03593753],"study_design_scores_gemma":[0.00001997594,0.00009416338,0.0005717666,0.0005814772,0.00003140952,0.001612111,0.0005908646,0.001243564,0.0004242263,0.4532259,0.541555,0.00004953093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008482818,0.2279037,0.4904839,0.06839344,0.0247317,0.001091974,0.001637047,0.001255012,0.1760204],"genre_scores_gemma":[0.2285421,0.1572944,0.4915684,0.04808988,0.02267149,0.006470201,0.001666077,0.0009570713,0.04274041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008852772,"threshold_uncertainty_score":0.04681844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945278357550456,"score_gpt":0.3182314664010336,"score_spread":0.2987786828255291,"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."}}