{"id":"W4393028907","doi":"10.1016/j.mucimm.2024.03.007","title":"Interaction of microbiota, mucosal malignancies, and immunotherapy—Mechanistic insights","year":2024,"lang":"en","type":"article","venue":"Mucosal Immunology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Microbiome; Cancer therapy; Biology; Immune system; Bystander effect; Cancer; Immunotherapy; Immunology; Immunity; Dysbiosis; Human microbiome; Cancer immunotherapy; Computational biology; Bioinformatics; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006003513,0.0003961513,0.000639682,0.00111637,0.0003034246,0.001634074,0.0003122146,0.0008657975,0.001406443],"category_scores_gemma":[0.0003485345,0.0001677383,0.0004516063,0.0006631422,0.0006646639,0.001540245,0.001042855,0.001272988,0.0002996018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004262956,"about_ca_system_score_gemma":0.0007226811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004618563,"about_ca_topic_score_gemma":0.0007805612,"domain_scores_codex":[0.999827,0.00005336413,0.00001367584,0.00003289233,0.00004014096,0.00003289629],"domain_scores_gemma":[0.9998179,0.00006761429,0.00005061362,0.00000930158,0.00002174193,0.00003289548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008663826,0.0004142909,0.0124704,0.01275412,0.0005515583,0.002054151,0.0006050065,0.001555305,0.1008399,0.03670559,0.01309299,0.8180903],"study_design_scores_gemma":[0.00009199938,0.00208475,0.06667309,0.008956845,0.001252841,0.01187074,0.002508936,0.004011026,0.03296675,0.07403631,0.7953984,0.0001484093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01117129,0.9778373,0.002268672,0.005679495,0.0002956856,0.00001447033,0.00007565224,0.0000328175,0.002624742],"genre_scores_gemma":[0.07327768,0.9201985,0.002654438,0.001719153,0.0009408185,0.00002503238,0.0000843981,0.000008027395,0.001091907],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001634074,"threshold_uncertainty_score":0.004704952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007720975105253883,"score_gpt":0.2508495302293923,"score_spread":0.2431285551241384,"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."}}