{"id":"W2786718111","doi":"10.1016/j.ccell.2018.01.003","title":"The Integrated Genomic Landscape of Thymic Epithelial Tumors","year":2018,"lang":"en","type":"article","venue":"Cancer Cell","topic":"Myasthenia Gravis and Thymoma","field":"Medicine","cited_by":383,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; National Human Genome Research Institute; National Institutes of Health; Bayer","keywords":"Thymoma; HRAS; Neuroblastoma RAS viral oncogene homolog; Myasthenia gravis; Thymic carcinoma; Biology; Cancer research; Immunology; Pathology; Medicine; Gene; Mutation; KRAS; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001072951,0.00008722311,0.0001644917,0.00001867631,0.00006840135,0.000008010068,0.0001149589,0.0000372504,0.001035621],"category_scores_gemma":[0.0000100381,0.00004894781,0.00006245894,0.00008944222,0.0001399167,0.00001535485,0.00002380016,0.00008624719,0.00009658188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004310361,"about_ca_system_score_gemma":0.0001699777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003991933,"about_ca_topic_score_gemma":0.0002253423,"domain_scores_codex":[0.999414,0.00001883686,0.0001706704,0.0001266039,0.00009921219,0.0001707225],"domain_scores_gemma":[0.9994782,0.00002669465,0.00007612441,0.000250797,0.000105619,0.00006252437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001420186,0.0001491444,0.03939572,0.0001387711,0.0001406296,0.00002330187,0.002174988,0.000002989732,0.8924993,0.001027204,0.0251407,0.03788706],"study_design_scores_gemma":[0.003558433,0.001150374,0.08922834,0.000244901,0.0001822407,0.00003592882,0.001252386,0.0009132874,0.4585125,0.0003863609,0.444251,0.000284273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788809,0.002409598,0.00001453139,0.0002620879,0.0003450983,0.0001518797,0.00002545426,0.00001840274,0.01789209],"genre_scores_gemma":[0.9946666,0.0003775078,0.00005748287,0.0001919058,0.0004744018,0.00001187851,0.000006207324,0.00001731281,0.004196683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4339868,"threshold_uncertainty_score":0.9998776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009380318851333006,"score_gpt":0.2495854806434507,"score_spread":0.2402051617921176,"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."}}