{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00316973,0.0002205719,0.0004737691,0.00003575109,0.0006775687,0.00005851024,0.0005295634,0.000133372,0.00001776731],"category_scores_gemma":[0.0008367348,0.0001796413,0.0001883225,0.000407547,0.0001576293,0.0000157577,0.0002594432,0.0005198856,0.000001562356],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003479204,"about_ca_system_score_gemma":0.007226739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001711256,"about_ca_topic_score_gemma":0.0004958567,"domain_scores_codex":[0.9970258,0.0003387535,0.001421444,0.0003221817,0.0002784063,0.0006133735],"domain_scores_gemma":[0.9974978,0.0004908494,0.001115198,0.000426317,0.0003620855,0.0001077736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009974008,0.003556804,0.02619418,0.003795779,0.001802766,0.000002419833,0.02040024,0.08313774,0.001272343,0.005917065,0.5959566,0.2479901],"study_design_scores_gemma":[0.002895523,0.003128422,0.0002878201,0.00001551461,0.0000562259,0.00001075042,0.008541171,0.01198973,0.0006716829,0.0002973762,0.9716786,0.0004272436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9046792,0.01814968,0.03668132,0.009290296,0.004042208,0.01242991,0.006134263,0.0001281853,0.008464958],"genre_scores_gemma":[0.9378778,0.0129064,0.01048156,0.02560882,0.002060673,0.009065688,0.001199245,0.0001004327,0.0006993738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.375722,"threshold_uncertainty_score":0.9984013,"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."}}