{"id":"W2766018563","doi":"10.1101/208330","title":"Germline determinants of the somatic mutation landscape in 2,642 cancer genomes","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"European Commission","keywords":"Germline; Biology; Genetics; Germline mutation; Somatic cell; Mutagenesis; Genome; Carcinogenesis; Mutation; Cancer; Gene","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":[0.0003420646,0.0001850887,0.0002924226,0.0007527525,0.0002571726,0.0004550196,0.0001881017,0.0003216576,0.002036543],"category_scores_gemma":[0.001077811,0.0001811281,0.0002877438,0.001037456,0.0001504285,0.0001593975,0.0004400973,0.0002888729,0.0003070643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002217527,"about_ca_system_score_gemma":0.0002207711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001210567,"about_ca_topic_score_gemma":0.002019363,"domain_scores_codex":[0.9997124,0.00004424636,0.00001610411,0.0001087004,0.00007454141,0.00004405268],"domain_scores_gemma":[0.9997384,0.0001044992,0.00005439563,0.00004308728,0.00002429507,0.00003534825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001121905,0.0001174585,0.5420434,0.0003015831,0.0007021633,0.001942766,0.0004961214,0.006726624,0.3801971,0.002077848,0.003884347,0.06038862],"study_design_scores_gemma":[0.0001040487,0.0002347117,0.9071203,0.00004520847,0.0002987483,0.00488038,0.0003800944,0.009841482,0.04977703,0.003298211,0.02398311,0.00003656634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919584,0.000417179,0.001762027,0.0001243845,0.00000727725,0.00001131527,0.004809522,0.0000961447,0.0008137241],"genre_scores_gemma":[0.9866355,0.0002469647,0.003462701,0.0000600265,0.00001213843,0.00001747934,0.008793592,0.00004450601,0.0007270446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002036543,"threshold_uncertainty_score":0.00681293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123598945038109,"score_gpt":0.2461998711796818,"score_spread":0.2349638817293007,"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."}}