{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05554983,0.0007458588,0.001808207,0.001367397,0.005667983,0.0116461,0.003595918,0.077916,0.008409891],"category_scores_gemma":[0.224342,0.001105136,0.001731062,0.001669647,0.01571857,0.01670987,0.004920883,0.07717087,0.002903769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01024676,"about_ca_system_score_gemma":0.01576467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008113377,"about_ca_topic_score_gemma":0.01013707,"domain_scores_codex":[0.9313754,0.03730039,0.007070005,0.003434343,0.01844665,0.002373188],"domain_scores_gemma":[0.6538956,0.2573728,0.01654156,0.01219563,0.03854845,0.02144594],"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":[0.0001383139,0.00009202232,0.003255181,0.0003053434,0.00008888727,0.001519532,0.001046993,0.0002038391,0.0002735929,0.02485412,0.927455,0.04076713],"study_design_scores_gemma":[0.0003263074,0.0001706733,0.004191101,0.00174429,0.00008023663,0.004036433,0.002406236,0.001431862,0.0003112331,0.102598,0.8825105,0.0001930656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001468497,0.0008504171,0.0002742238,0.9961875,0.001836116,0.000004143128,0.000007702994,0.000007805987,0.0006851977],"genre_scores_gemma":[0.006315963,0.001718332,0.001094575,0.9726239,0.01715352,0.00002905706,0.00001780034,0.00001901578,0.001027771],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.077916,"threshold_uncertainty_score":0.2937791,"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."}}