{"id":"W2032818059","doi":"10.1245/aso.2003.08.911","title":"Quality Assurance: The Value of Data and the Will to Improve","year":2003,"lang":"en","type":"letter","venue":"Annals of Surgical Oncology","topic":"Breast Lesions and Carcinomas","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Quality assurance; Medicine; Surgical oncology; Value (mathematics); Quality (philosophy); Medical physics; MEDLINE; Data science; Computer science; Oncology; 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":[0.00297479,0.0002078665,0.001264546,0.00005413865,0.00005385237,0.000006208816,0.0005451686,0.0006355274,0.0001521788],"category_scores_gemma":[0.0002131292,0.00009602185,0.0002121737,0.0001734423,0.000932915,0.00004498196,0.0003584805,0.001094356,0.000006649708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001286692,"about_ca_system_score_gemma":0.0003446862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003130224,"about_ca_topic_score_gemma":0.00001028468,"domain_scores_codex":[0.9971196,0.001017542,0.0007125611,0.0004264128,0.0004078156,0.0003160451],"domain_scores_gemma":[0.9949586,0.002848803,0.0003999214,0.001412862,0.0002885033,0.00009134044],"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":[0.0008518384,0.000105044,0.0001831111,0.0002061867,0.0002147039,0.0001978275,0.00008428717,2.996978e-7,0.00004188139,0.00191045,0.9692681,0.02693628],"study_design_scores_gemma":[0.001931047,0.0004503913,0.004141964,0.00006312082,0.0001572067,0.0002663284,0.0000581694,0.000009640313,0.00004597124,0.0005832109,0.9921904,0.0001026138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01031999,0.002322356,0.00002063677,0.9735889,0.0002337986,0.0005941385,0.0003399674,0.000006381533,0.01257378],"genre_scores_gemma":[0.06528849,0.00477452,0.0002649122,0.925394,0.001648806,0.0000466643,0.0001824442,0.00003543151,0.002364711],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0549685,"threshold_uncertainty_score":0.4901769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101227413739301,"score_gpt":0.4073942418778365,"score_spread":0.2972715005039064,"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."}}