{"id":"W2896917114","doi":"10.1007/s11888-018-0419-4","title":"Insights Into the Relationship Between Gut Microbiota and Colorectal Cancer","year":2018,"lang":"en","type":"article","venue":"Current Colorectal Cancer Reports","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Colorectal cancer; Fusobacterium nucleatum; Gut flora; Dysbiosis; Synbiotics; Bacteroides fragilis; Medicine; Prebiotic; Cancer; Bacteroides; Bifidobacterium; Carcinogenesis; Probiotic; Biology; Internal medicine; Microbiology; Immunology; Antibiotics; Lactobacillus; Periodontitis; Bacteria; Genetics","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":[0.0001710283,0.0002396509,0.000220557,0.00005488814,0.0004983976,0.0000521293,0.0001480118,0.0001895291,0.00004013576],"category_scores_gemma":[0.0001077186,0.0001817113,0.00007982465,0.0001999589,0.0004473568,0.0000097652,0.0002023061,0.0002513304,0.000008013234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008591148,"about_ca_system_score_gemma":0.0004799563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005263945,"about_ca_topic_score_gemma":0.003834322,"domain_scores_codex":[0.9984544,0.00008732005,0.0003949393,0.0005988278,0.0001316586,0.0003328416],"domain_scores_gemma":[0.9990862,0.00004239994,0.0002696729,0.0002695909,0.0001838663,0.0001482684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006778216,0.00002513616,0.5609442,0.00004568664,0.00004173886,0.000003897364,0.0007255277,7.438498e-7,0.4277179,0.00003710127,0.00558253,0.004807772],"study_design_scores_gemma":[0.0002287272,0.0002226937,0.8437812,0.00007064254,0.00005455173,0.00004121475,0.00003472117,0.00000287476,0.06101239,0.0002076828,0.0940899,0.0002533798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804404,0.01666518,0.00001946002,0.00044596,0.001651987,0.0004913678,0.00002408567,0.00002382277,0.0002377681],"genre_scores_gemma":[0.9969879,0.0008951614,0.0000330045,0.0001301146,0.00150953,0.0001476252,0.0001317307,0.00002992517,0.0001349449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3667055,"threshold_uncertainty_score":0.7409971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02902271896753215,"score_gpt":0.3326723766795742,"score_spread":0.303649657712042,"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."}}