{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001326477,0.0001448835,0.0002379036,0.0002009984,0.00009372807,0.000008155082,0.0000329794,0.0001397632,0.000007324941],"category_scores_gemma":[0.000007999077,0.000142274,0.00001725705,0.0001527572,0.0002100338,0.000008341999,0.0001228211,0.0001448278,5.107767e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004573321,"about_ca_system_score_gemma":0.00009048565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007631572,"about_ca_topic_score_gemma":0.0003360776,"domain_scores_codex":[0.9991058,0.0001066267,0.00020658,0.0003566239,0.00002237519,0.0002020306],"domain_scores_gemma":[0.9997441,0.000006925401,0.0000959509,0.00006666047,0.00002537226,0.00006101136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004457038,0.0000556066,0.5533684,0.0000313747,0.00003321606,6.061608e-7,0.00007203794,0.000007353366,0.4444619,8.091551e-7,0.0008459154,0.0006770552],"study_design_scores_gemma":[0.00663512,0.002495785,0.9572289,0.00002578347,0.00003566463,0.00004096696,0.00012628,0.00004541966,0.03128459,0.00001196812,0.001869881,0.0001996505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975605,0.001328882,0.0002731634,0.00004771125,0.0002741739,0.0003809558,0.0001222486,0.00000351069,0.000008868349],"genre_scores_gemma":[0.9979726,0.001096152,0.0004710371,0.00006428046,0.000012147,0.00001535185,0.0003267883,0.00001181578,0.00002983509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4131773,"threshold_uncertainty_score":0.5801767,"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."}}