{"id":"W2019682317","doi":"10.3390/informatics1020160","title":"How Using Dedicated Software Can Improve RECIST Readings","year":2014,"lang":"en","type":"article","venue":"Informatics","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Response Evaluation Criteria in Solid Tumors; Reproducibility; Computer science; Software; Reading (process); Medicine; Medical physics; Radiology; Nuclear medicine; Data mining; Clinical trial; Programming language; Statistics; Mathematics; 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":[0.006653625,0.0009565481,0.0008027136,0.001624928,0.0002253854,0.001459393,0.0006929942,0.0007735839,0.002512559],"category_scores_gemma":[0.03675426,0.000517094,0.0008504064,0.001202463,0.0003193214,0.001122821,0.0009640767,0.0005771415,0.001355568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003070266,"about_ca_system_score_gemma":0.0004033385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003860962,"about_ca_topic_score_gemma":0.0008876209,"domain_scores_codex":[0.9928359,0.003469075,0.000795219,0.001228136,0.001467616,0.0002039608],"domain_scores_gemma":[0.9521858,0.03316745,0.003969391,0.004945351,0.005101258,0.0006307607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002695994,0.0003091972,0.1101431,0.0005582646,0.0004686072,0.0005701854,0.000485111,0.005635367,0.0399918,0.000396334,0.003398509,0.8353475],"study_design_scores_gemma":[0.0003720668,0.007160966,0.6703781,0.0006249114,0.002278465,0.01407421,0.0007262114,0.0765586,0.1841661,0.00447135,0.03865467,0.0005342719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8125199,0.005384269,0.1670083,0.0008669977,0.0003540369,0.0002069546,0.0006650676,0.005298426,0.007696],"genre_scores_gemma":[0.8657423,0.0009991736,0.1289437,0.0003321217,0.0002515174,0.00009621902,0.0008207652,0.001080592,0.001733679],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006653625,"threshold_uncertainty_score":0.03518814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192405987608359,"score_gpt":0.264730609304937,"score_spread":0.2528065494288534,"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."}}