{"id":"W2887700403","doi":"10.1016/j.neo.2018.07.007","title":"Characterizing Microsatellite Instability and Chromosome Instability in Interval Colorectal Cancers","year":2018,"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":"CancerCare Manitoba; Research Institute in Oncology and Hematology; University of Manitoba","funders":"Canadian Institutes of Health Research; Strong; CancerCare Manitoba Foundation","keywords":"Microsatellite instability; MLH1; MSH2; PMS2; MSH6; Chromosome instability; Population; Oncology; Biology; Colorectal cancer; Internal medicine; Genetics; Medicine; Cancer research; Chromosome; Cancer; DNA mismatch repair; Microsatellite; Gene; Allele","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":[0.0005676332,0.0001742478,0.000270009,0.002554949,0.0002313127,0.0004969067,0.0002798706,0.0003108727,0.0007553613],"category_scores_gemma":[0.002127322,0.0001372334,0.0001543453,0.00137434,0.0002444607,0.0002572114,0.0005651553,0.0002711526,0.0001590881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001788319,"about_ca_system_score_gemma":0.0001930086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387278,"about_ca_topic_score_gemma":0.002398443,"domain_scores_codex":[0.9995858,0.0000508807,0.00004849924,0.0001257822,0.0001356539,0.00005339834],"domain_scores_gemma":[0.9987891,0.0001864233,0.000604053,0.00007422135,0.0001963401,0.0001498358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002298051,0.00002291152,0.9602295,0.00009168122,0.00008634406,0.0005325084,0.0002692752,0.0001195483,0.0302469,0.00009610024,0.0001248851,0.007950566],"study_design_scores_gemma":[0.000005942911,0.0002188421,0.9899198,0.00002081328,0.00006145519,0.004636311,0.0002845222,0.0004005897,0.003064212,0.0001462867,0.001229489,0.00001171842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968095,0.001468588,0.0007844315,0.00002351128,0.000005330305,0.00002272502,0.0003031101,0.0000145353,0.0005682701],"genre_scores_gemma":[0.998181,0.0004942776,0.0007007798,0.00003259609,0.00001200527,0.00001708559,0.0003906806,0.000004070844,0.0001674082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002554949,"threshold_uncertainty_score":0.003001928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162360322211807,"score_gpt":0.2730543815106498,"score_spread":0.2568183492894691,"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."}}