{"id":"W2287964956","doi":"10.1016/j.jmir.2015.12.034","title":"A Quality Improvement Evaluation of Evolving Technologies in Liver SBRT","year":2016,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Protocol (science); Quality assurance; Medical physics; Radiation treatment planning; Significant difference; Nuclear medicine; Audit; Radiation therapy; Radiology","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":[0.02497467,0.0005115533,0.0009084161,0.003293778,0.0006148164,0.002120814,0.0008433251,0.0007484241,0.00152086],"category_scores_gemma":[0.0598273,0.0002209771,0.001670434,0.003389927,0.0006974778,0.001719182,0.001102442,0.0005349682,0.0001906397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003177783,"about_ca_system_score_gemma":0.002367947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004701214,"about_ca_topic_score_gemma":0.003231838,"domain_scores_codex":[0.9815211,0.009973333,0.002137397,0.0009935914,0.004843981,0.0005306841],"domain_scores_gemma":[0.9132773,0.03675884,0.01547651,0.004361337,0.02774161,0.002384476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0226192,0.005047271,0.537285,0.001473212,0.002381147,0.0001837723,0.002076786,0.03381213,0.008851865,0.001786754,0.002042661,0.3824402],"study_design_scores_gemma":[0.002017486,0.07285252,0.779529,0.0004465655,0.00297154,0.0005148204,0.002505611,0.1158252,0.01688041,0.001116171,0.005123169,0.0002174727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840238,0.001616604,0.01053126,0.0003177061,0.00005274674,0.0006673166,0.0009345135,0.0001210306,0.001735107],"genre_scores_gemma":[0.9887782,0.0002859534,0.009886394,0.00005699542,0.00002658814,0.0001685169,0.0005157853,0.00002289413,0.0002586753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02497467,"threshold_uncertainty_score":0.1320803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03330414257719521,"score_gpt":0.3624510345471845,"score_spread":0.3291468919699893,"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."}}