{"id":"W39304742","doi":"10.3747/co.v16i1.366","title":"Genomancy: Predicting Tumour Response to Cancer Therapy based on the Oracle Of Genetics","year":2009,"lang":"en","type":"article","venue":"Current Oncology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Epigenetics; Tumour heterogeneity; Cancer; Computational biology; Biology; Epigenesis; Cancer research; Gene; Neuroblastoma RAS viral oncogene homolog; Disease; Bioinformatics; Medicine; Genetics; Mutation; Gene expression; KRAS; DNA methylation; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001062868,0.0005390255,0.0007217437,0.003292515,0.0002189709,0.0008604918,0.0004055918,0.0005629489,0.002062552],"category_scores_gemma":[0.004041665,0.0001485158,0.0004797086,0.0013539,0.0002824415,0.0004046224,0.0004161996,0.0004417394,0.0006832057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007796052,"about_ca_system_score_gemma":0.0006171403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003367805,"about_ca_topic_score_gemma":0.003372691,"domain_scores_codex":[0.9996015,0.0001462297,0.0000276875,0.0001036884,0.00009326732,0.00002758602],"domain_scores_gemma":[0.9986926,0.0008118317,0.000245613,0.00005003537,0.0001216807,0.00007825202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001868856,0.0002917529,0.5580734,0.0003717475,0.0004518696,0.0006415527,0.00009680271,0.1103636,0.01265836,0.003281094,0.006587071,0.305314],"study_design_scores_gemma":[0.0001624998,0.0006029921,0.1823065,0.0001185722,0.000401924,0.002403245,0.0001406793,0.7649211,0.008650414,0.02779083,0.01242748,0.00007375862],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6816277,0.00912122,0.2725144,0.005393635,0.0002916325,0.0004850317,0.01694613,0.005292688,0.00832758],"genre_scores_gemma":[0.9298751,0.001283883,0.06250736,0.0003208471,0.0001196403,0.000161873,0.004568375,0.0001051252,0.001057865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003367805,"threshold_uncertainty_score":0.006899953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04777558911896906,"score_gpt":0.3535171038390013,"score_spread":0.3057415147200322,"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."}}