{"id":"W3119156689","doi":"10.1200/cci.20.00076","title":"Chemotherapy Knowledge Base Management in the Era of Precision Oncology","year":2021,"lang":"en","type":"article","venue":"JCO Clinical Cancer Informatics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Granularity; Knowledge base; Ontology; Medicine; Domain (mathematical analysis); Cancer chemotherapy; Chemotherapy; Precision medicine; Computer science; Regimen; Precision oncology; Domain knowledge; Cancer; Oncology; Internal medicine; Knowledge management; World Wide Web; 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":[],"consensus_categories":[],"category_scores_codex":[0.0008215341,0.0001044253,0.0002262314,0.00002075854,0.00002766934,0.00001686401,0.0002741116,0.0001621218,0.00005356248],"category_scores_gemma":[0.0001925613,0.00008046714,0.0001303053,0.0001584047,0.00008409326,0.000004252448,0.0001648983,0.000209072,0.00000877576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003883979,"about_ca_system_score_gemma":0.0003695397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001369114,"about_ca_topic_score_gemma":0.0003345738,"domain_scores_codex":[0.99866,0.00008447663,0.0008175335,0.0001307279,0.0001244864,0.0001827278],"domain_scores_gemma":[0.9989411,0.0002210798,0.0002036326,0.0004531881,0.0001277215,0.00005330334],"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":[0.0004289071,0.001133776,0.009529159,0.000233808,0.0001653591,0.00001620273,0.002029393,0.0008199204,0.0006714112,0.001378902,0.05362159,0.9299716],"study_design_scores_gemma":[0.003051397,0.0005350489,0.01364516,0.00007691376,0.00005271345,0.00000778417,0.001404022,0.000935772,0.007906136,0.000387783,0.9717908,0.0002064891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560822,0.003938679,0.001976314,0.001629816,0.001026278,0.0005262912,0.00007672213,0.000006328528,0.03473734],"genre_scores_gemma":[0.9141673,0.06049469,0.01087842,0.01290977,0.0007071816,0.0001332186,0.0001498116,0.00002766499,0.0005319676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9297651,"threshold_uncertainty_score":0.3281355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0403168331372856,"score_gpt":0.3999764437361533,"score_spread":0.3596596105988678,"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."}}