{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008159262,0.00127186,0.003375133,0.005102393,0.0008211565,0.005318831,0.001738759,0.001878596,0.002557278],"category_scores_gemma":[0.005279375,0.0004256593,0.001779437,0.005554237,0.002240721,0.004362158,0.003475742,0.004885188,0.0009803361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002253107,"about_ca_system_score_gemma":0.004271831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001732091,"about_ca_topic_score_gemma":0.002237457,"domain_scores_codex":[0.9963865,0.001670799,0.0002314592,0.0005113956,0.0009968906,0.000202843],"domain_scores_gemma":[0.993694,0.003464088,0.0004165934,0.0007197457,0.001228543,0.0004769737],"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":[0.0004906787,0.0002032654,0.01250486,0.01566055,0.001684895,0.001112227,0.001153308,0.004555663,0.0372354,0.1327953,0.06522398,0.7273798],"study_design_scores_gemma":[0.00006335849,0.0003691067,0.01415889,0.003281566,0.0007411764,0.001824662,0.001753882,0.01152057,0.01196822,0.2673129,0.6866975,0.0003081989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01012482,0.6642737,0.2621197,0.0386908,0.004739325,0.0003148098,0.004529268,0.002767517,0.01244007],"genre_scores_gemma":[0.1169404,0.5501961,0.2865777,0.02580228,0.007662233,0.0007819626,0.006495973,0.0005476726,0.004995658],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008159262,"threshold_uncertainty_score":0.04315084,"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."}}