{"id":"W2895654791","doi":"10.1155/2018/9836256","title":"Onco-Multi-OMICS Approach: A New Frontier in Cancer Research","year":2018,"lang":"en","type":"review","venue":"BioMed Research International","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":328,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"University of Dhaka","keywords":"Frontier; Omics; Cancer; Computational biology; Bioinformatics; Medicine; Data science; Biology; Computer science; Internal medicine; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002675127,0.0003199673,0.0005848198,0.001291185,0.0001321734,0.0002049211,0.00166371,0.0006938149,0.0001505505],"category_scores_gemma":[0.001102299,0.0002903678,0.0002844553,0.0007837778,0.0005170648,0.000006398931,0.001280251,0.001031898,0.0001731242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009221394,"about_ca_system_score_gemma":0.004056194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001577137,"about_ca_topic_score_gemma":0.0007621896,"domain_scores_codex":[0.9958887,0.0004959264,0.0006017796,0.001044534,0.001080126,0.0008889392],"domain_scores_gemma":[0.9978885,0.0001779076,0.0001345796,0.0006846489,0.0007932371,0.0003211061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000118699,0.0004529374,0.00005641981,0.001049176,0.000394774,0.0000224347,0.00007989522,0.000003968258,0.000358651,0.0002541471,0.5016232,0.4955857],"study_design_scores_gemma":[0.000631961,0.000140487,0.00001690922,0.001018735,0.00001652221,0.00001160625,0.00003651695,0.0000841208,0.0001092461,0.00009559725,0.9975464,0.000291897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007253241,0.9924342,0.0003861345,0.0002479361,0.00200697,0.001054534,0.0006786764,0.000007550645,0.00311147],"genre_scores_gemma":[0.00002169147,0.9733279,0.002829522,0.00003695446,0.006158379,0.0005816584,0.001815436,0.00009296832,0.01513547],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4959232,"threshold_uncertainty_score":0.9999548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3563719702208935,"score_gpt":0.5330408130977811,"score_spread":0.1766688428768876,"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."}}