{"id":"W2982154804","doi":"10.1093/molbev/msz242","title":"Molecular Biology and Evolution of Cancer: From Discovery to Action","year":2019,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Institute of Cancer Research; Ontario Institute for Cancer Research","funders":"U.S. National Library of Medicine; National Institute on Aging; Yale School of Public Health, Yale University; National Cancer Institute; National Institutes of Health; Cancer Research UK; Notsew Orm Sands Foundation; Yale University","keywords":"Biology; Action (physics); Cancer; Process (computing); Ecological niche; Cognitive science; Suite; Niche construction; Computational biology; Evolutionary biology; Ecology; Computer science; Genetics","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":[0.006740327,0.0008274501,0.00155442,0.002228869,0.001423034,0.004988824,0.001587159,0.002954058,0.001949757],"category_scores_gemma":[0.005837182,0.0004608002,0.000632745,0.001634863,0.01229136,0.01266496,0.003320269,0.007974706,0.0005493433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003161128,"about_ca_system_score_gemma":0.003276111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451359,"about_ca_topic_score_gemma":0.001290043,"domain_scores_codex":[0.9984073,0.0006813559,0.00007267245,0.0002283642,0.0004818545,0.0001283088],"domain_scores_gemma":[0.9964979,0.002442876,0.0001968506,0.0002719843,0.0003095722,0.0002808585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001086686,0.00008807598,0.002450082,0.001470485,0.00009999085,0.0004300202,0.001138801,0.0025557,0.006007446,0.7591786,0.01782921,0.2086429],"study_design_scores_gemma":[0.00002442535,0.0001319595,0.001563668,0.0009983297,0.00005141902,0.0005633851,0.001034497,0.003448075,0.003139526,0.7730713,0.2158957,0.00007781319],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01225242,0.6994137,0.05930867,0.2115469,0.003582453,0.00005374365,0.0001434422,0.0002445729,0.01345411],"genre_scores_gemma":[0.1777467,0.7499186,0.0406451,0.01860015,0.007173736,0.0001272303,0.0001350584,0.0001138845,0.005539541],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006740327,"threshold_uncertainty_score":0.03564674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004469765112738821,"score_gpt":0.2648532402534113,"score_spread":0.2603834751406725,"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."}}