{"id":"W2526441452","doi":"10.1016/j.ijrobp.2016.06.578","title":"Automated Quality Assurance at Breast Cancer Rounds—a Process to Improve Efficiency and Quality of Patient Care","year":2016,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Quality assurance; Standardization; Metric (unit); Medical physics; Radiation treatment planning; Quality (philosophy); Breast cancer; Radiation therapy; Computer science; Operations management; Cancer; Surgery","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":[0.04088943,0.001203071,0.001458046,0.006636914,0.00328713,0.007971383,0.003692206,0.001174116,0.005284872],"category_scores_gemma":[0.1084635,0.001067835,0.0009480168,0.00544431,0.000939865,0.003622281,0.006146309,0.002767916,0.003317683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004821794,"about_ca_system_score_gemma":0.01976329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01183609,"about_ca_topic_score_gemma":0.01179579,"domain_scores_codex":[0.9524602,0.02544156,0.005219911,0.004152451,0.01131674,0.001409265],"domain_scores_gemma":[0.7940384,0.05852437,0.03294169,0.0272591,0.08140792,0.005828443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006446593,0.0007665373,0.0581798,0.0005965775,0.0002019174,0.0001325491,0.002618436,0.006904586,0.008206571,0.003475933,0.03556363,0.8827088],"study_design_scores_gemma":[0.0009648082,0.003024,0.3247322,0.001634358,0.0007537035,0.00117617,0.009442032,0.2910459,0.06269554,0.03952501,0.2641088,0.0008974513],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1403129,0.002549909,0.7793761,0.02112032,0.00108535,0.008630527,0.003028749,0.02404555,0.01985043],"genre_scores_gemma":[0.3497726,0.0008659484,0.6357843,0.001640676,0.000799077,0.001753814,0.003686534,0.0009972405,0.004699869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04088943,"threshold_uncertainty_score":0.2162465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297235277937564,"score_gpt":0.3501331752731723,"score_spread":0.3371608224937966,"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."}}