{"id":"W4213261164","doi":"10.1200/cci.21.00105","title":"A Scalable Quality Assurance Process for Curating Oncology Electronic Health Records: The Project GENIE Biopharma Collaborative Approach","year":2022,"lang":"en","type":"article","venue":"JCO Clinical Cancer Informatics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"National Cancer Institute","keywords":"Quality assurance; Process (computing); Scalability; Quality (philosophy); QA/QC; Electronic health record; Key (lock)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3979055,0.001670739,0.001901377,0.01204491,0.006042929,0.01844052,0.008434381,0.003962867,0.004026274],"category_scores_gemma":[0.3891842,0.002199533,0.002644975,0.009709617,0.005460171,0.01270767,0.02693038,0.007163622,0.003366837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009862686,"about_ca_system_score_gemma":0.07646446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0174401,"about_ca_topic_score_gemma":0.01451435,"domain_scores_codex":[0.6404446,0.2233619,0.03139373,0.03082578,0.06902586,0.004948087],"domain_scores_gemma":[0.4209898,0.1812419,0.0408834,0.1968786,0.147219,0.01278727],"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":[0.001255777,0.002031107,0.03693416,0.002472987,0.0007672014,0.001199555,0.02143486,0.01086243,0.01612258,0.04392967,0.07960484,0.7833849],"study_design_scores_gemma":[0.002063488,0.003123668,0.05743755,0.007822176,0.0008877141,0.00273757,0.01469986,0.1067215,0.04429528,0.1270947,0.6316841,0.001432441],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0138816,0.0007297976,0.9336717,0.01955086,0.0003670626,0.01212816,0.002164341,0.01235063,0.00515574],"genre_scores_gemma":[0.04037591,0.0002545992,0.9470382,0.002106664,0.0001767189,0.003721075,0.003541254,0.001078973,0.001706589],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3979055,"threshold_uncertainty_score":0.7424898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08323830779046938,"score_gpt":0.4636081950222595,"score_spread":0.3803698872317902,"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."}}