{"id":"W2113402870","doi":"10.1016/j.neo.2015.02.001","title":"Characterizing the Prevalence of Chromosome Instability in Interval Colorectal Cancer","year":2015,"lang":"en","type":"article","venue":"Neoplasia","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Winnipeg; CancerCare Manitoba; Research Institute in Oncology and Hematology; University of Manitoba","funders":"Canadian Institutes of Health Research; Strong; CancerCare Manitoba Foundation","keywords":"Microsatellite instability; Colorectal cancer; Fluorescence in situ hybridization; Population; Oncology; Chromosome instability; Cancer; Internal medicine; Cohort; Medicine; Comparative genomic hybridization; Tissue microarray; Chromosome; Biology; Pathology; Genetics; Microsatellite; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004634013,0.0001552217,0.0002080096,0.002043912,0.0002776535,0.0004638373,0.00031166,0.0002449924,0.0006629475],"category_scores_gemma":[0.001506079,0.0001568178,0.0001255816,0.001289484,0.000296253,0.0001816184,0.000380607,0.0001866373,0.0001030459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004550981,"about_ca_system_score_gemma":0.0003293639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02259292,"about_ca_topic_score_gemma":0.03256862,"domain_scores_codex":[0.999653,0.00006409002,0.00002960209,0.00009302809,0.0001106241,0.00004973412],"domain_scores_gemma":[0.9993338,0.00009348203,0.0002667717,0.00004267383,0.0001766719,0.00008664311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003238683,0.000007553448,0.9973821,0.00000551233,0.00001435542,0.00008398213,0.00008544412,0.00002017296,0.001589312,0.000008128442,0.00001947979,0.0007514639],"study_design_scores_gemma":[8.534348e-7,0.00003799256,0.9991482,0.000001839543,0.000008083723,0.0003316402,0.0001034232,0.00007681232,0.0001831409,0.000006208169,0.0001003307,0.000001443698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993962,0.0001512018,0.00009285815,0.000008577812,7.593989e-7,0.000007320385,0.000113776,0.000003098618,0.0002262984],"genre_scores_gemma":[0.999424,0.0001261641,0.0001318629,0.00001106792,0.000001969769,0.000006177583,0.0001998525,0.000001373587,0.00009756671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02259292,"threshold_uncertainty_score":0.04492277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0337941807217975,"score_gpt":0.3000589744250531,"score_spread":0.2662647937032556,"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."}}