{"id":"W3186959919","doi":"10.1002/1878-0261.13067","title":"A comprehensive analysis of SNPs and CNVs identifies novel markers associated with disease outcomes in colorectal cancer","year":2021,"lang":"en","type":"article","venue":"Molecular Oncology","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Terry Fox Research Institute; Beatrice Hunter Cancer Research Institute; Cancer Research Institute","keywords":"Colorectal cancer; Single-nucleotide polymorphism; Disease; Medicine; Cancer; Genetics; Bioinformatics; Biology; Oncology; Computational biology; Internal medicine; Genotype; Gene","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":[0.0004037399,0.0002579144,0.0004397385,0.001463222,0.0002946853,0.0003454774,0.0002169841,0.0002403278,0.0009357611],"category_scores_gemma":[0.0009749282,0.0001232819,0.0004543332,0.001901466,0.0001617744,0.0001124637,0.0003479918,0.0002017682,0.00014597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001800052,"about_ca_system_score_gemma":0.0004131093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003015095,"about_ca_topic_score_gemma":0.006634639,"domain_scores_codex":[0.9996023,0.0000538127,0.00004171653,0.0001649924,0.00009168858,0.00004556288],"domain_scores_gemma":[0.9994577,0.0001786105,0.0001894278,0.00004680072,0.00005300723,0.00007453052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009457496,0.0001168961,0.8492548,0.0003353992,0.001226702,0.001244441,0.0001911565,0.002009538,0.07617941,0.0003343992,0.001244862,0.06691666],"study_design_scores_gemma":[0.00002818061,0.0001556351,0.9938458,0.0000139241,0.000356297,0.0008722672,0.00003801094,0.001114414,0.001939303,0.0001623325,0.001460884,0.00001287262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946786,0.001533178,0.001216042,0.0000493224,0.000007751251,0.00002264026,0.002117814,0.00002806454,0.0003465546],"genre_scores_gemma":[0.9959469,0.0003443028,0.001244339,0.00003102838,0.00001295486,0.00002307593,0.002144073,0.000007455872,0.0002459359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003015095,"threshold_uncertainty_score":0.005995095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179761729303294,"score_gpt":0.3136660484019652,"score_spread":0.2956898754716358,"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."}}