{"id":"W2611882427","doi":"10.1016/j.smim.2017.04.003","title":"Microbiome and colorectal cancer: Unraveling host-microbiota interactions in colitis-associated colorectal cancer development","year":2017,"lang":"en","type":"review","venue":"Seminars in Immunology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":145,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Canadian Cancer Society","keywords":"Dysbiosis; Colorectal cancer; Inflammatory bowel disease; Immune system; Microbiome; Inflammation; Immunology; Colitis; Disease; Medicine; Gut flora; Mouse model of colorectal and intestinal cancer; Cancer; Human microbiome; Biology; Bioinformatics; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003948601,0.0006119538,0.001585272,0.0004677957,0.0002719233,0.00005734723,0.0005668367,0.001021522,0.00004993525],"category_scores_gemma":[0.0001155499,0.0006478229,0.0001751536,0.0002438916,0.0003655068,0.000009775135,0.0005984414,0.0009319842,0.00001447378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039108,"about_ca_system_score_gemma":0.002161846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001919869,"about_ca_topic_score_gemma":0.03491052,"domain_scores_codex":[0.9968547,0.000316517,0.0009637662,0.000919628,0.00005925349,0.0008861113],"domain_scores_gemma":[0.9987099,0.00007253146,0.000700668,0.0003411869,0.00009607063,0.00007963595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002912941,0.0004218748,0.002755177,0.003223105,0.00105951,0.00009760527,0.00107862,0.000001298482,0.3608396,0.00001152297,0.001573112,0.6286472],"study_design_scores_gemma":[0.0009423465,0.0001531036,0.008571491,0.01323451,0.0001138584,0.0002711852,0.0001027934,9.834982e-7,0.004206341,0.000001969392,0.9716354,0.0007660135],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2495475,0.7481359,5.826901e-7,0.00004826674,0.001030203,0.0007827774,0.0003622316,0.00001205595,0.00008043845],"genre_scores_gemma":[0.009471553,0.9876337,0.0001460826,0.00005207361,0.00009344567,0.0005167698,0.001127342,0.00008297805,0.00087605],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9700623,"threshold_uncertainty_score":0.9995973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03176447344853171,"score_gpt":0.356601387944196,"score_spread":0.3248369144956643,"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."}}