{"id":"W2026803992","doi":"10.1097/cco.0000000000000185","title":"Cancer genomics","year":2015,"lang":"en","type":"review","venue":"Current Opinion in Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"European Society for Medical Oncology","keywords":"Medicine; Clinical trial; Drug; Precision medicine; Matching (statistics); Drug development; Personalized medicine; Genomics; Timeline; Computational biology; Medical physics; Bioinformatics; Pharmacology; Genome; Internal medicine; Pathology","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":[0.0002774594,0.0003423984,0.001015506,0.0001416908,0.000026716,0.00001729106,0.000393669,0.0005929472,0.00003176555],"category_scores_gemma":[0.0000994181,0.0003320491,0.0002395238,0.0001473317,0.00008056436,0.000001396383,0.0003470077,0.0003623749,0.00005904669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006755981,"about_ca_system_score_gemma":0.003503108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002606483,"about_ca_topic_score_gemma":0.00006094141,"domain_scores_codex":[0.9982784,0.0001406638,0.0005804319,0.0005607872,0.0000921499,0.0003475965],"domain_scores_gemma":[0.9989765,0.00005187696,0.0003225364,0.0004144504,0.00008797488,0.0001467106],"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":[0.00001166586,0.00009681145,0.00001645317,0.00216344,0.0000356952,8.299519e-7,0.0000166054,0.00001658587,0.000001695428,0.00009827934,0.07451091,0.923031],"study_design_scores_gemma":[0.0004121466,0.0001900249,0.000002220098,0.001402116,0.00006831672,0.00001749821,0.000006839204,0.000004345055,0.000001288624,0.00005390547,0.9974889,0.0003524286],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000009095617,0.9825563,0.00003717138,0.00003645065,0.01589939,0.0005659063,0.0003165996,0.000007011521,0.0005721063],"genre_scores_gemma":[9.017137e-7,0.9941423,0.00008401176,0.00003222613,0.003715533,0.0004511047,0.00143658,0.00005753069,0.00007983946],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.922978,"threshold_uncertainty_score":0.9999132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1416048373164954,"score_gpt":0.4655508785956059,"score_spread":0.3239460412791105,"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."}}