{"id":"W2808910921","doi":"10.1093/annonc/mdy150.005","title":"Characterizations of DNA copy number variations and spatio-temporal intra tumor heterogeneity in liver metastasis from colorectal cancer patients","year":2018,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Moncton Hospital; Mount Sinai Hospital; Cégep de Lévis; Jewish General Hospital; Sunnybrook Health Science Centre; Dr. Georges-L.-Dumont University Hospital Centre; Hôpital Maisonneuve-Rosemont; St Mary's Hospital Centre; McGill University Health Centre; Hôpital du Sacré-Cœur de Montréal; McGill University; Centre de Santé et de Services Sociaux de Chicoutimi","funders":"","keywords":"Medicine; Colorectal cancer; Concordance; Metastasis; Copy-number variation; Copy number analysis; Tumour heterogeneity; Single-nucleotide polymorphism; SNP; Transcriptome; Biopsy; Gene expression profiling; Cancer research; SNP array; Liquid biopsy; Oncology; Cancer; Pathology; Internal medicine; Gene; Genotype; Gene expression; Biology; Genome; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001716537,0.0001229659,0.0001874441,0.0007923963,0.0001581608,0.000370961,0.0001738215,0.0002368818,0.001450349],"category_scores_gemma":[0.0008747473,0.0001015908,0.0001319584,0.000705881,0.0001405088,0.0001268246,0.0002016409,0.0002076917,0.0002991212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148081,"about_ca_system_score_gemma":0.0001051007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001603778,"about_ca_topic_score_gemma":0.002428495,"domain_scores_codex":[0.9998282,0.00001908151,0.00001564552,0.0000607269,0.00005027725,0.00002603843],"domain_scores_gemma":[0.9996541,0.0000943733,0.0001161527,0.00002802854,0.00007159427,0.00003575761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001267905,0.00005132691,0.7052756,0.0001624227,0.0001670977,0.001223057,0.0003613227,0.0008867091,0.2644188,0.0001176552,0.0005027819,0.02556528],"study_design_scores_gemma":[0.000008610512,0.0001767594,0.9780342,0.000007740336,0.00004624305,0.002186859,0.0001703014,0.001185805,0.01698233,0.00009109717,0.001101592,0.000008546333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973543,0.0004547065,0.0005400167,0.00003571013,0.000003466941,0.00001079197,0.001155624,0.00001737343,0.0004280229],"genre_scores_gemma":[0.9976202,0.0001762881,0.0004190135,0.00002490119,0.000005767499,0.00001906982,0.001349233,0.00001028891,0.0003751548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001603778,"threshold_uncertainty_score":0.004851937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684821546434187,"score_gpt":0.3205735582745008,"score_spread":0.2937253428101589,"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."}}