{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01878114,0.0006727159,0.001305124,0.00792653,0.002165522,0.0152311,0.004476456,0.002427937,0.00532454],"category_scores_gemma":[0.04964465,0.0009320474,0.001153929,0.008896803,0.001500103,0.02103927,0.009006101,0.005564822,0.002749419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003950488,"about_ca_system_score_gemma":0.008133471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01117707,"about_ca_topic_score_gemma":0.01335128,"domain_scores_codex":[0.990625,0.002451923,0.001398807,0.001540289,0.003506347,0.0004777216],"domain_scores_gemma":[0.9499334,0.01911027,0.003714741,0.013439,0.01093866,0.002863947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000276579,0.0003013148,0.007839457,0.001039776,0.0002280518,0.001079768,0.002123733,0.009960253,0.004441692,0.05425828,0.1308465,0.7876047],"study_design_scores_gemma":[0.0001618003,0.0001149905,0.005419085,0.001676127,0.0003182544,0.001509867,0.002617611,0.1101463,0.01118222,0.2533319,0.6132857,0.0002362754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04336986,0.01879065,0.7443636,0.09674853,0.002357146,0.0009409389,0.0145799,0.03343767,0.04541168],"genre_scores_gemma":[0.1681392,0.01138557,0.7712652,0.009376503,0.00155186,0.0003273823,0.02632145,0.002673814,0.008959028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01878114,"threshold_uncertainty_score":0.09932536,"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."}}