{"id":"W2337784206","doi":"10.1371/journal.pone.0154070","title":"Gamma-Retrovirus Integration Marks Cell Type-Specific Cancer Genes: A Novel Profiling Tool in Cancer Genomics","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Blood Cancer UK; Alberta Innovates; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Leukemia and Lymphoma Research; Cancer Research UK; University of Alberta; Alberta Innovates - Technology Futures","keywords":"Retrovirus; Biology; Insertional mutagenesis; Genetics; Enhancer; Gene; Functional genomics; Genome; Computational biology; Genomics; Gene expression","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":[0.0004084771,0.0003900944,0.000619989,0.001272583,0.0001995671,0.0008294133,0.0003610992,0.0003891918,0.000916181],"category_scores_gemma":[0.0003823487,0.0003107601,0.0004096962,0.00130718,0.0002721183,0.0005987564,0.00047491,0.0007056698,0.0005471298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002991405,"about_ca_system_score_gemma":0.0001810531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002726917,"about_ca_topic_score_gemma":0.000425109,"domain_scores_codex":[0.9996392,0.00004798877,0.00001175898,0.0001582543,0.0001127092,0.00003010298],"domain_scores_gemma":[0.9997671,0.00007128221,0.00007517236,0.00003629081,0.0000252274,0.00002488142],"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":[0.0001332005,0.00001995647,0.002560905,0.000206377,0.00005412881,0.0000633334,0.00006757589,0.0003895658,0.9697449,0.0007708888,0.0002070956,0.02578204],"study_design_scores_gemma":[0.00002388688,0.0004975508,0.07171814,0.00008087272,0.0002885783,0.002014954,0.0001820537,0.01401206,0.8637468,0.004163824,0.04319843,0.00007287807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6734852,0.02089247,0.2819335,0.0006276541,0.0001310066,0.0001689219,0.01121669,0.003244519,0.008300021],"genre_scores_gemma":[0.8178166,0.009519953,0.158095,0.0004114707,0.0000899225,0.0001549253,0.007718984,0.0004469295,0.005746216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001272583,"threshold_uncertainty_score":0.00306493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05815544399386217,"score_gpt":0.2882917668194802,"score_spread":0.230136322825618,"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."}}