{"id":"W2085540051","doi":"10.1038/nature11288","title":"Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins","year":2012,"lang":"en","type":"article","venue":"Nature","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":397,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute; National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Biology; Genetics; Genome; Gene; Genomics; Phenotype; Interactome; Computational biology; Cancer; Transcriptome; Gene expression","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":[0.0002541035,0.0001671354,0.0001849245,0.0000196343,0.0001605665,0.00004488865,0.000179493,0.0007342003,0.00002550579],"category_scores_gemma":[0.0000423767,0.0001386919,0.00008284618,0.00009332522,0.00002764669,0.000009805055,0.0001054953,0.0005851496,0.000006774377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004264512,"about_ca_system_score_gemma":0.00004470225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001562154,"about_ca_topic_score_gemma":0.00002195132,"domain_scores_codex":[0.9990596,0.00004771935,0.0002501734,0.0001472576,0.0001104834,0.0003847347],"domain_scores_gemma":[0.9994336,0.00001375279,0.0001678241,0.0002243093,0.00006150499,0.0000989542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007251611,0.0001403066,0.007661684,0.003454182,0.0005578938,0.000001441161,0.001224511,0.001968189,0.890541,0.0007937896,0.09267914,0.000905371],"study_design_scores_gemma":[0.004500071,0.0009030857,0.004898608,0.01709605,0.001901772,0.000500052,0.003216082,0.1498429,0.3204626,0.0008588218,0.4879082,0.007911768],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6896871,0.286716,0.01540837,0.0005263633,0.002417334,0.002007221,0.0002318825,0.00006134767,0.002944286],"genre_scores_gemma":[0.9947472,0.0002353749,0.002012124,0.001322566,0.001063678,0.00005590599,0.00008565847,0.00002745976,0.0004499895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5700784,"threshold_uncertainty_score":0.5662825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006493587270391015,"score_gpt":0.2490237601318325,"score_spread":0.2425301728614415,"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."}}