{"id":"W1991082348","doi":"10.1007/s10555-010-9199-2","title":"Integrating the multiple dimensions of genomic and epigenomic landscapes of cancer","year":2010,"lang":"en","type":"review","venue":"Cancer and Metastasis Reviews","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Occupational Cancer Research Centre; Canadian Centre for Applied Research in Cancer Control; BC Cancer Agency","funders":"National Cancer Institute; National Human Genome Research Institute; Canadian Institutes of Health Research","keywords":"Epigenomics; Computational biology; Biology; Epigenetics; Genome; DNA microarray; Gene; Genomics; Genetics; DNA methylation; DNA sequencing; 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":[0.0009546698,0.001156131,0.001963632,0.001519705,0.0003450632,0.001738719,0.001224463,0.001791275,0.001985725],"category_scores_gemma":[0.0008154324,0.0004565602,0.0003683343,0.002157175,0.001245538,0.003212496,0.001053552,0.002466173,0.0009270064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180235,"about_ca_system_score_gemma":0.001254183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001746109,"about_ca_topic_score_gemma":0.004692184,"domain_scores_codex":[0.9997633,0.00004732831,0.00001884203,0.00004704261,0.00009869016,0.00002484192],"domain_scores_gemma":[0.9995321,0.0002433928,0.00003815311,0.0000172956,0.0001210362,0.00004799943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000770029,0.00003046943,0.0003372639,0.005610592,0.0001147808,0.0002528751,0.0001361949,0.001166853,0.009511097,0.01818144,0.03622184,0.9283596],"study_design_scores_gemma":[0.00001900075,0.00004714397,0.00197251,0.001314561,0.0001369649,0.001504073,0.0002263768,0.0004678689,0.001953123,0.02282162,0.9694854,0.00005141753],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002133809,0.9967988,0.00094682,0.0009147404,0.0003105011,0.00000281467,0.00001549173,0.00001476934,0.0007826985],"genre_scores_gemma":[0.0010544,0.997068,0.0005182625,0.0003003694,0.0004376417,0.000004184123,0.00002326286,0.000002253388,0.0005917033],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001985725,"threshold_uncertainty_score":0.008563221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0301296252096581,"score_gpt":0.3284621968923717,"score_spread":0.2983325716827135,"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."}}