{"id":"W2947267775","doi":"10.1200/jco.2019.37.15_suppl.tps2664","title":"Feasibility study of microbial ecosystem therapeutics (MET-4) to evaluate effects of fecal microbiome in patients on immunotherapy (MET4-IO).","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Microbiome; Metagenomics; Internal medicine; Pembrolizumab; Feces; Adverse effect; Randomized controlled trial; Oncology; Immunotherapy; Gastroenterology; Immunology; Bioinformatics; Cancer; Biology; Microbiology","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":[0.001285752,0.000557631,0.0006989114,0.000288426,0.0005391357,0.0003975349,0.0002810074,0.000668523,0.00304463],"category_scores_gemma":[0.0009477775,0.0002650288,0.000675405,0.0002276633,0.0002968829,0.0004896232,0.000432951,0.0008612322,0.0008374638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004399505,"about_ca_system_score_gemma":0.001189426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007256832,"about_ca_topic_score_gemma":0.0008310015,"domain_scores_codex":[0.999633,0.0001637322,0.00001382984,0.00008128895,0.00003858598,0.00006951772],"domain_scores_gemma":[0.9989728,0.00009813225,0.0001446508,0.00007344834,0.0001332733,0.0005776741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.4945503,0.08249419,0.2631209,0.0004362908,0.000461173,0.0004155403,0.0004763711,0.0008772066,0.06818444,0.0002463039,0.001914377,0.08682305],"study_design_scores_gemma":[0.01675436,0.8104829,0.1640385,0.00002474167,0.0001939547,0.0001760942,0.0002579917,0.0006968711,0.005233272,0.0001194452,0.002001117,0.00002077258],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965062,0.0002371669,0.000341633,0.0001271581,0.00003947199,0.001608415,0.0004669746,0.00001622546,0.0006568547],"genre_scores_gemma":[0.9940066,0.0001461425,0.001319247,0.0003025361,0.00005904438,0.002268625,0.0007778169,0.00000564012,0.001114318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00304463,"threshold_uncertainty_score":0.0101853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05768376519729694,"score_gpt":0.4426608200986469,"score_spread":0.3849770549013499,"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."}}