{"id":"W4200387120","doi":"10.1016/j.cels.2021.08.007","title":"Identifying features of genome evolution to exploit cancer vulnerabilities","year":2021,"lang":"en","type":"letter","venue":"Cell Systems","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Human Frontier Science Program","keywords":"Exploit; Genome; Biology; Computational biology; Cancer; Key (lock); Human genome; Evolutionary biology; Computer science; Genetics; Gene; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00390921,0.0005812947,0.00106044,0.0006492627,0.002253543,0.00314733,0.001260783,0.0258339,0.004236672],"category_scores_gemma":[0.01293352,0.0005911063,0.0008184493,0.0005509789,0.003505996,0.00289885,0.001483246,0.02586599,0.002640569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002318474,"about_ca_system_score_gemma":0.001560442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002050392,"about_ca_topic_score_gemma":0.005214852,"domain_scores_codex":[0.9986134,0.0003823391,0.0001003147,0.0002303735,0.0004460688,0.0002275046],"domain_scores_gemma":[0.9915087,0.006254893,0.0003505456,0.0004456921,0.0007176282,0.0007225038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003985098,0.00009329359,0.002422988,0.0001270816,0.00007023478,0.002449593,0.0002406915,0.0003358811,0.002411129,0.01496221,0.9285707,0.04791768],"study_design_scores_gemma":[0.0003155267,0.0001551252,0.003690312,0.0001526666,0.00008685452,0.002384143,0.0004559247,0.001944572,0.002807681,0.06706224,0.9208642,0.00008074928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002244767,0.004796285,0.001240855,0.961589,0.02554559,0.00002611454,0.0001268625,0.0000758441,0.004354717],"genre_scores_gemma":[0.01938968,0.003608753,0.001966981,0.9063827,0.05115085,0.0001221531,0.00008942591,0.00006306099,0.0172264],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0258339,"threshold_uncertainty_score":0.02067417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149195336098229,"score_gpt":0.2423664306940648,"score_spread":0.2208744773330825,"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."}}