{"id":"W4385484093","doi":"10.1038/s44276-023-00008-8","title":"Gut microbiome and nutrition-related predictors of response to immunotherapy in cancer: making sense of the puzzle","year":2023,"lang":"en","type":"review","venue":"BJC Reports","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre Hospitalier de l’Université de Montréal; Jewish General Hospital; McGill University Health Centre","funders":"","keywords":"Microbiome; Gut microbiome; Immunotherapy; Sense (electronics); Cancer; Cancer immunotherapy; Immunology; Psychology; Medicine; Biology; Immune system; Bioinformatics; Internal medicine; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005725254,0.0001999927,0.0006944516,0.0001643851,0.00003830095,0.000006309842,0.0001028035,0.0003378581,0.000006519325],"category_scores_gemma":[0.00008409836,0.0001521292,0.0002088837,0.0003792268,0.00007497705,0.00000132767,0.0001284998,0.0001322507,6.977234e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003871572,"about_ca_system_score_gemma":0.000443941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001272881,"about_ca_topic_score_gemma":0.000128972,"domain_scores_codex":[0.9982276,0.0002132584,0.0009234397,0.0003632931,0.00008034529,0.0001920787],"domain_scores_gemma":[0.998645,0.00003089398,0.0006875942,0.0005405069,0.00006136065,0.00003462322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004470567,0.0002586349,0.001466649,0.02345646,0.0005724096,0.0002120409,0.0004216696,0.000005438249,0.930328,0.000004878813,0.004505552,0.03832119],"study_design_scores_gemma":[0.0002234228,0.0001081586,0.002659248,0.01144264,0.00007403894,0.0004663382,0.00001606357,7.445781e-8,0.001476079,0.000006174993,0.9833505,0.0001772414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1789817,0.8194465,5.015994e-7,0.0000600169,0.0003312382,0.001012538,0.000140502,0.000006025521,0.00002101081],"genre_scores_gemma":[0.01049072,0.9885488,0.0000369589,0.00002887676,0.00004366713,0.00007455823,0.00007344108,0.00004626234,0.0006567059],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9788449,"threshold_uncertainty_score":0.6203649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507180423655966,"score_gpt":0.3512673729536746,"score_spread":0.326195568717115,"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."}}