{"id":"W1522860394","doi":"10.1002/hep.26540","title":"Identification of driver genes in hepatocellular carcinoma by exome sequencing","year":2013,"lang":"en","type":"article","venue":"Hepatology","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":297,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"National Cancer Institute; National Institute on Aging; National Institutes of Health","keywords":"Nonsynonymous substitution; Exome sequencing; Biology; Exome; Genetics; Gene; Hepatocellular carcinoma; Mutation; Cancer research; HCCS; Methyltransferase; Histone; Methylation; Genome","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000983108,0.00009004685,0.0002921125,0.0001126323,0.00001788708,0.00000491005,0.00007027066,0.0001095115,0.0004019411],"category_scores_gemma":[0.00002010146,0.0000834704,0.00005293703,0.0001647171,0.00007932908,0.00006843823,0.00002458405,0.00008593473,0.00007592543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019774,"about_ca_system_score_gemma":0.00007352507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001803021,"about_ca_topic_score_gemma":0.00003080613,"domain_scores_codex":[0.9990636,0.00004866608,0.0003701698,0.0002153197,0.0001118463,0.000190398],"domain_scores_gemma":[0.9994974,0.00001988324,0.000105806,0.0002253571,0.00009674657,0.00005477313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007567314,0.00003561532,0.6729515,0.00005499502,0.000008836304,0.000008203051,0.0001301874,3.009102e-7,0.3245261,0.00008627595,0.0007509455,0.00143943],"study_design_scores_gemma":[0.0009803763,0.000166653,0.334269,0.00004025546,0.00005567034,0.00006631423,0.0002971131,0.01737615,0.6445082,0.00021726,0.001858074,0.0001648579],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968765,0.001710823,0.0001062263,0.0006123476,0.00009372442,0.0003228385,0.000003898057,0.00001801508,0.0002555733],"genre_scores_gemma":[0.9990933,0.0001916741,0.00009863913,0.0002126631,0.0000211672,0.0001245626,0.00001852703,0.00001328404,0.0002262145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3386825,"threshold_uncertainty_score":0.4400973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302101970873231,"score_gpt":0.2507049680980334,"score_spread":0.2276839483893011,"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."}}