{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003490409,0.0001271244,0.0002722018,0.00005372135,0.00001716778,0.00000695876,0.0001755713,0.00008622243,0.0003184225],"category_scores_gemma":[0.000316039,0.00008887407,0.00005941197,0.0002545313,0.0001921848,0.00006231797,0.0000977178,0.0002608528,0.00001172235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003187179,"about_ca_system_score_gemma":0.0004502881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002770354,"about_ca_topic_score_gemma":0.0004660794,"domain_scores_codex":[0.9988339,0.00007774256,0.0003087353,0.0002365005,0.0003227582,0.0002203608],"domain_scores_gemma":[0.9993199,0.00008888181,0.0001021777,0.0002606174,0.0001275639,0.0001008259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006316096,0.0001166521,0.898276,0.0004053216,0.00002147765,0.000009648003,0.004073347,0.00001080384,0.09167393,0.00001166457,0.000166015,0.004603503],"study_design_scores_gemma":[0.000921123,0.0004692239,0.9036071,0.0002055292,0.00003476612,0.00004323334,0.0002231024,0.0001901028,0.09305502,0.00003743036,0.001126209,0.00008721363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957435,0.0005226446,0.00000234203,0.0007248584,0.0006361398,0.0004869849,0.00002695666,0.00002306246,0.001833569],"genre_scores_gemma":[0.9992894,0.00006488333,0.0001114681,0.000172134,0.0001087809,0.00009682563,0.000002321577,0.00001475494,0.0001394323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00533102,"threshold_uncertainty_score":0.3624179,"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."}}