{"id":"W2560624670","doi":"10.1101/091173","title":"How Cancer Genomics Drives Cancer Biology: Does Synthetic Lethality Explain Mutually Exclusive Oncogenic Mutations?","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research; Weill Cornell Medical College; National Institutes of Health; Michael Smith Health Research BC","keywords":"KRAS; Biology; Cancer; Synthetic lethality; Carcinogenesis; Mutation; Genetics; Oncogene; Cancer research; Genome; Mutant; Computational biology; Gene; Cell cycle","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":[0.001031413,0.0004108539,0.0005083888,0.0003862107,0.0004814448,0.001260271,0.0005142824,0.001205792,0.002382423],"category_scores_gemma":[0.002733025,0.0002129793,0.000532451,0.0002036074,0.001955599,0.00203139,0.001089396,0.001251203,0.0006130993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006614292,"about_ca_system_score_gemma":0.0004274615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003135423,"about_ca_topic_score_gemma":0.0002005472,"domain_scores_codex":[0.9995352,0.0001553493,0.0000198267,0.0001211207,0.00009492267,0.00007363125],"domain_scores_gemma":[0.9988269,0.0005360923,0.0002066623,0.000218829,0.00007842992,0.0001329697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003644979,0.0001674741,0.0192739,0.0005989312,0.0001510738,0.002912825,0.0007781822,0.06203642,0.1703452,0.6829284,0.006459139,0.05398383],"study_design_scores_gemma":[0.00007215525,0.00032628,0.008194941,0.00007645952,0.00006724967,0.002772337,0.0007014209,0.1345347,0.04648503,0.7763242,0.03034586,0.00009934337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7630765,0.005600122,0.1625346,0.02543982,0.0006746245,0.00005481575,0.0006171203,0.00106692,0.0409355],"genre_scores_gemma":[0.9901292,0.001129705,0.005651172,0.0009205437,0.0001017798,0.00002471673,0.0001056021,0.00009459759,0.001842673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002382423,"threshold_uncertainty_score":0.007970035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188985917656365,"score_gpt":0.2494209025922206,"score_spread":0.2375310434156569,"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."}}