{"id":"W3135672875","doi":"10.1158/1557-3265.adi21-ia-17","title":"Abstract IA-17: Plumbing the depths of the non-coding cancer genome","year":2021,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Genome; Exome; Exome sequencing; Cancer; Genomics; Computational biology; Biology; Human genome; Cancer genome sequencing; Gene; Genetics; Evolutionary biology; Mutation","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":[0.002952843,0.000865524,0.0005563014,0.001796949,0.0009297995,0.004413477,0.001088815,0.002156869,0.01809244],"category_scores_gemma":[0.009127984,0.0005880629,0.0006343449,0.001364526,0.001603302,0.003460563,0.003286282,0.005085916,0.006756884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001941907,"about_ca_system_score_gemma":0.002593874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002666494,"about_ca_topic_score_gemma":0.003973051,"domain_scores_codex":[0.998914,0.0002490633,0.00005050049,0.0002102679,0.0004373733,0.0001387487],"domain_scores_gemma":[0.9957463,0.001437638,0.0002936695,0.0004027758,0.001009744,0.001109789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003063004,0.00003883455,0.002944564,0.0007049153,0.00007310409,0.0004879933,0.0006307709,0.001438422,0.02258833,0.04095925,0.7306828,0.1991447],"study_design_scores_gemma":[0.00005743897,0.0001207034,0.003317725,0.0005503174,0.00007162507,0.001100231,0.0005375424,0.002155459,0.01820745,0.04529704,0.928513,0.00007159462],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04828694,0.1177175,0.1951539,0.4177,0.07050697,0.0003438152,0.01715212,0.02168454,0.1114543],"genre_scores_gemma":[0.3467304,0.1032145,0.1971354,0.1190899,0.0221289,0.000641984,0.0220603,0.007601628,0.1813971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01809244,"threshold_uncertainty_score":0.0605253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1316953898233665,"score_gpt":0.4832118392757842,"score_spread":0.3515164494524177,"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."}}