{"id":"W4409527523","doi":"10.1158/1055-9965.epi-25-0287","title":"Density of T-cell Subsets in Colorectal Cancer in Relation to Disease-Specific Survival","year":2025,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Lunenfeld-Tanenbaum Research Institute","funders":"Office of Research Infrastructure Programs, National Institutes of Health; Division of Loan Repayment; Canadian Institutes of Health Research; National Health and Medical Research Council; National Cancer Institute; Cancer Research UK; National Institutes of Health; National Heart, Lung, and Blood Institute; Brigham and Women's Hospital","keywords":"Colorectal cancer; Disease; Cancer; Relation (database); Medicine; Oncology; Internal medicine; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008078503,0.0001844832,0.0002500501,0.0006580524,0.0001776328,0.0004096032,0.0002737225,0.0002720547,0.001314189],"category_scores_gemma":[0.003858722,0.0001631069,0.0003245989,0.0005538609,0.000296114,0.0002537371,0.0005093599,0.0003168916,0.00009857577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002225048,"about_ca_system_score_gemma":0.000129149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001974498,"about_ca_topic_score_gemma":0.001528639,"domain_scores_codex":[0.9996071,0.0001197589,0.00003135875,0.0001239547,0.0000647744,0.00005299039],"domain_scores_gemma":[0.9964932,0.001477754,0.001188936,0.0002914039,0.0002441274,0.0003045505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002408861,0.000007267347,0.9966751,0.00001993888,0.00009621379,0.00002951469,0.00003148407,0.0003977788,0.0009643683,0.00002120409,0.00003785886,0.00147831],"study_design_scores_gemma":[0.000004249142,0.0000557516,0.998261,0.000003170663,0.00005641852,0.0001813021,0.00005542621,0.0009138106,0.0002897746,0.00007328144,0.0001032823,0.000002492827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986091,0.0005168489,0.0004842721,0.00003233819,0.000002306371,0.000004253551,0.0001561601,0.00001139318,0.0001833611],"genre_scores_gemma":[0.9997781,0.00004038454,0.00007926314,0.000003411219,0.000003334195,0.000003012366,0.00006638258,0.000001164201,0.00002486305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001974498,"threshold_uncertainty_score":0.004396439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04414321729365135,"score_gpt":0.3575087324032376,"score_spread":0.3133655151095863,"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."}}