{"id":"W4285741193","doi":"10.3389/fcimb.2022.830684","title":"Combined Non-Invasive Prediction and New Biomarkers of Oral and Fecal Microbiota in Patients With Gastric and Colorectal Cancer","year":2022,"lang":"en","type":"article","venue":"Frontiers in Cellular and Infection Microbiology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Science Foundation of Anhui Province; Anhui Medical University; National Natural Science Foundation of China","keywords":"Fusobacterium; Fusobacterium nucleatum; Gut flora; Biology; Bifidobacterium; Feces; Microbiology; Shigella; Bacteroides; Microbiome; Colorectal cancer; Cancer; Faecalibacterium prausnitzii; Lactobacillus; Gastroenterology; Internal medicine; Medicine; Escherichia coli; Immunology; Bacteria; Periodontitis; Bioinformatics; Porphyromonas gingivalis","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":[0.0006118672,0.0005746227,0.00076383,0.001279284,0.0003323802,0.0007115337,0.0002657515,0.0005959714,0.0006689988],"category_scores_gemma":[0.001669309,0.0002137498,0.0003904211,0.0009142865,0.0002330425,0.0005136487,0.000615503,0.0004760934,0.0001621899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002665569,"about_ca_system_score_gemma":0.0002341412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001386091,"about_ca_topic_score_gemma":0.002235046,"domain_scores_codex":[0.9995725,0.0001079771,0.00005058465,0.0001060221,0.00009594439,0.00006693847],"domain_scores_gemma":[0.9992194,0.0001554409,0.0002925181,0.00005304607,0.0001473154,0.000132189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004786119,0.00005109908,0.9891365,0.00005430414,0.00007582054,0.00009371163,0.00004119698,0.0001164145,0.001223117,0.00001118919,0.0001249843,0.00859315],"study_design_scores_gemma":[0.00002268454,0.0004354891,0.9943171,0.00002278915,0.0001895154,0.0007587502,0.0002291547,0.002502023,0.0008871366,0.00009871324,0.0005242216,0.00001240126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959376,0.002611121,0.0005313812,0.00007124224,0.00002169333,0.00002191388,0.000318693,0.00002083279,0.0004655177],"genre_scores_gemma":[0.9984683,0.000347214,0.0006419478,0.00002887228,0.00002891996,0.00001453876,0.0002864734,0.000002503443,0.0001811853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001386091,"threshold_uncertainty_score":0.003235936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003571102145079086,"score_gpt":0.1910916217135563,"score_spread":0.1875205195684772,"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."}}