{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001776404,0.0001671804,0.0003209197,0.001112262,0.0002338063,0.0007692673,0.0001440549,0.000226963,0.001813252],"category_scores_gemma":[0.0009235633,0.0001045885,0.0002176521,0.001077861,0.0001815704,0.0002599343,0.0004904019,0.000245271,0.0002321552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193705,"about_ca_system_score_gemma":0.0001528352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005527278,"about_ca_topic_score_gemma":0.0009639803,"domain_scores_codex":[0.9997383,0.00003694451,0.00001675389,0.0001140071,0.00005019295,0.0000437489],"domain_scores_gemma":[0.9995205,0.0001715476,0.0001639281,0.00003631624,0.00005135031,0.0000562809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008924801,0.00004837754,0.6266147,0.0004588384,0.0007070933,0.002543786,0.000627353,0.001429901,0.2762828,0.001536882,0.001687153,0.08717067],"study_design_scores_gemma":[0.00001419922,0.0001223421,0.976382,0.00005241274,0.0003413296,0.004693234,0.0004109214,0.001291137,0.008036904,0.002211031,0.006426185,0.0000183156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878521,0.004819577,0.00154772,0.0002835091,0.0000110587,0.000009082237,0.003769652,0.00006054672,0.001646779],"genre_scores_gemma":[0.9946695,0.001172704,0.0009282033,0.0001034217,0.0000214963,0.00001134412,0.002679855,0.00002264079,0.00039078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001813252,"threshold_uncertainty_score":0.006065965,"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."}}