{"id":"W4220728064","doi":"10.1016/j.mcpro.2022.100228","title":"Immunopeptidomic Analyses of Colorectal Cancers With and Without Microsatellite Instability","year":2022,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"National Institute on Drug Abuse; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Genome Canada; Canadian Institutes of Health Research; National Cancer Institute; National Institutes of Health; National Human Genome Research Institute; Canadian Cancer Society; National Heart, Lung, and Blood Institute","keywords":"Colorectal cancer; Microsatellite instability; Antigen; Biology; Cancer research; Cancer; Gene; Immunology; Microsatellite; Genetics","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":[0.0001272981,0.000294131,0.0001519959,0.0008145898,0.0001820497,0.0001623008,0.0001259842,0.0001825025,0.0006264547],"category_scores_gemma":[0.00023371,0.00009660739,0.0001716208,0.0004888573,0.0001163998,0.00008449146,0.0001651819,0.0002377123,0.0001730185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001084693,"about_ca_system_score_gemma":0.0001069215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006651522,"about_ca_topic_score_gemma":0.001217413,"domain_scores_codex":[0.9998875,0.00001326023,0.00001284821,0.00002784659,0.00003554693,0.00002296418],"domain_scores_gemma":[0.9998435,0.00003438587,0.00004609824,0.00001383025,0.00003255533,0.00002965356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005106143,0.000008342126,0.001179733,0.00001470393,0.000009239169,0.00009521681,0.0000122317,0.00002554388,0.9978162,0.00001644149,0.00001818193,0.0007530248],"study_design_scores_gemma":[0.00002293067,0.0006463729,0.3142065,0.00001496926,0.00012383,0.00419498,0.0001984494,0.002381928,0.6726913,0.0001381148,0.005362797,0.00001770313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929385,0.0008411104,0.0034967,0.00004526129,0.00002224065,0.00004446246,0.001793096,0.00004327141,0.0007752657],"genre_scores_gemma":[0.9855796,0.001041592,0.007600622,0.0001168896,0.0000167674,0.00006759862,0.004491148,0.00002653344,0.001059247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008145898,"threshold_uncertainty_score":0.00209564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137190697826645,"score_gpt":0.2365691130917897,"score_spread":0.2251972061135233,"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."}}