{"id":"W4361958391","doi":"10.1158/1078-0432.c.6530000.v1","title":"Data from Association of <i>Fusobacterium nucleatum</i> with Specific T-cell Subsets in the Colorectal Carcinoma Microenvironment","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Gary Bennett Family Fund; Stand Up To Cancer; Orionin Tutkimussäätiö; Suomen Kulttuurirahasto; Mitsukoshi Health and Welfare Foundation; American Society of Clinical Oncology; National Institutes of Health; Cancer Research UK; Conquer Cancer Foundation; Japan Society for the Promotion of Science; American Association for Cancer Research","keywords":"Fusobacterium nucleatum; Colorectal cancer; Microsatellite instability; Biology; Cancer research; Medicine; Molecular biology; Internal medicine; Cancer; Periodontitis; Genetics; Porphyromonas gingivalis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006267094,0.0002706587,0.0002079223,0.0007762953,0.0002628895,0.0003821254,0.000274372,0.0004296739,0.002403795],"category_scores_gemma":[0.002434375,0.0001896471,0.00038657,0.0009830737,0.0002570667,0.000198926,0.0002913245,0.0002745088,0.0004095439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002708138,"about_ca_system_score_gemma":0.0001970499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003334531,"about_ca_topic_score_gemma":0.004317399,"domain_scores_codex":[0.9993223,0.0001179302,0.00009145935,0.0002255958,0.0001674364,0.00007523357],"domain_scores_gemma":[0.9970157,0.0006558119,0.001244422,0.0004859202,0.0003736817,0.0002244303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001168571,0.00003374226,0.9797413,0.00005320799,0.0001289227,0.0002572094,0.00006394124,0.0001223544,0.0135127,0.00003073036,0.0004268532,0.004460436],"study_design_scores_gemma":[0.0000219709,0.0002011144,0.9921407,0.0000111262,0.0001156288,0.0009094019,0.00009813414,0.000203347,0.005052096,0.0000462095,0.001193769,0.000006596591],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9939469,0.0003428009,0.000642491,0.00007578536,0.000007961896,0.00001547025,0.004148801,0.00001874619,0.0008009984],"genre_scores_gemma":[0.9973364,0.000114541,0.0002518725,0.00004998744,0.000007311271,0.00001498127,0.001984427,0.000009381208,0.0002310237],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.003334531,"threshold_uncertainty_score":0.008041501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143071325400979,"score_gpt":0.2314916263004011,"score_spread":0.2100609130463913,"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."}}