{"id":"W4220929666","doi":"10.1002/path.5901","title":"Unravelling the tumour genome: The evolutionary and clinical impacts of structural variants in tumourigenesis","year":2022,"lang":"en","type":"review","venue":"The Journal of Pathology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"College of Medicine and Veterinary Medicine, University of Edinburgh; Medical Research Council Canada; Cancer Research UK","keywords":"Computational biology; Tumour heterogeneity; Genome; Biology; Structural variation; Bioinformatics; Evolutionary biology; Cancer; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002489197,0.0001946471,0.0007120355,0.00006810618,0.0001365649,0.00001026142,0.0007040268,0.0001721046,0.00002723375],"category_scores_gemma":[0.0004993957,0.00009070746,0.000320817,0.0001268583,0.0003141531,0.000002242036,0.0003818723,0.0006313841,6.187655e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004123685,"about_ca_system_score_gemma":0.0005957842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000296819,"about_ca_topic_score_gemma":0.00004399829,"domain_scores_codex":[0.9973562,0.001161047,0.0009831208,0.0001555222,0.0001385409,0.0002055772],"domain_scores_gemma":[0.9975941,0.0007905704,0.001143898,0.0003567817,0.00006611616,0.00004850638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001877856,0.0006614387,0.006608998,0.00405727,0.003634976,0.001838226,0.002725144,0.002434172,0.00922913,0.001116849,0.004162121,0.9616538],"study_design_scores_gemma":[0.001415941,0.002315586,0.05649613,0.0007454187,0.003103138,0.02332764,0.0007393998,0.00005337033,0.0000565789,0.001514548,0.9096276,0.0006046462],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07549932,0.9235135,0.00003696146,0.0001504615,0.000478136,0.0002211282,0.0000772854,5.399068e-7,0.00002272234],"genre_scores_gemma":[0.04290112,0.9562827,0.00006809674,0.0001191507,0.0005729054,0.000003808132,0.00001652199,0.00002232333,0.00001341852],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9610492,"threshold_uncertainty_score":0.3698943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03517558724118314,"score_gpt":0.3361197731751419,"score_spread":0.3009441859339588,"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."}}