{"id":"W4404165259","doi":"10.1158/1078-0432.ccr-24-1240","title":"Genomic, Epigenomic, and Transcriptomic Inter- and Intratumor Heterogeneity in Desmoid Tumors","year":2024,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Soft tissue tumor case studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Toronto; Princess Margaret Cancer Centre; Artificial Intelligence in Medicine (Canada); McGill University; McGill University Health Centre","funders":"National Cancer Institute; Desmoid Tumor Research Foundation","keywords":"Epigenomics; Transcriptome; Biology; Cancer research; Computational biology; Genetics; Medicine; DNA methylation; Gene; Gene expression","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":[0.0001645125,0.0001210354,0.0001541048,0.0005129781,0.000112921,0.0002022197,0.00007791047,0.0001212014,0.0004081056],"category_scores_gemma":[0.000376224,0.00008436788,0.00009849402,0.0002630281,0.0001951115,0.000145702,0.0001504909,0.0001525853,0.00007976712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001304365,"about_ca_system_score_gemma":0.00008288006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002883124,"about_ca_topic_score_gemma":0.0005281979,"domain_scores_codex":[0.9998559,0.0000237055,0.00001006397,0.00005172679,0.00003615467,0.00002254446],"domain_scores_gemma":[0.9997749,0.0000742679,0.00008084031,0.0000194453,0.00002360039,0.00002707083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003493185,0.00002802738,0.1777938,0.0000458395,0.00006759151,0.0002896974,0.0001601029,0.0004273679,0.8145555,0.00008961595,0.00005156459,0.006141706],"study_design_scores_gemma":[0.000006892903,0.0001533034,0.9427851,0.000003764503,0.00004794535,0.001320968,0.0001327475,0.001661654,0.05315648,0.0001750875,0.0005481939,0.000007802709],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998785,0.0002005152,0.000742236,0.00001000197,7.464567e-7,0.000004110758,0.0001390716,0.000006289289,0.0001121232],"genre_scores_gemma":[0.9991829,0.00007291601,0.0003706344,0.00000905671,0.000002433219,0.000008064767,0.0002413064,0.000003116227,0.000109602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005129781,"threshold_uncertainty_score":0.001365244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2237726801199366,"score_gpt":0.5242642067212291,"score_spread":0.3004915266012924,"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."}}