{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004200678,0.0001406414,0.0002731215,0.0001139778,0.0001168661,0.0001082781,0.0001255433,0.00009842005,0.00001493957],"category_scores_gemma":[0.002076851,0.0001140654,0.00006520043,0.0001615058,0.000111839,0.0001566429,0.000054565,0.0004621432,0.00001500887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009093413,"about_ca_system_score_gemma":0.00008909823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000786533,"about_ca_topic_score_gemma":0.000002039091,"domain_scores_codex":[0.9989374,0.00001689922,0.000339416,0.00008708419,0.0003215208,0.0002977349],"domain_scores_gemma":[0.9990647,0.00009124207,0.0002002686,0.0002744876,0.0001109336,0.0002583858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000799797,0.0001142658,0.03025594,0.001503895,0.0002200416,0.00004031354,0.007419386,0.0002557514,0.007728111,0.002171058,0.01565605,0.9345552],"study_design_scores_gemma":[0.002184285,0.000245324,0.0009490774,0.0004600669,0.0001983195,0.0003795672,0.0007716987,0.7563903,0.001990253,0.0005126425,0.2355365,0.0003819691],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4824496,0.0000421697,0.5011485,0.006416127,0.000748947,0.0003804347,0.000009364155,0.0003765511,0.008428274],"genre_scores_gemma":[0.810526,0.00002142776,0.181151,0.005956597,0.0004576114,0.000005509759,0.00007072141,0.00004512338,0.001766056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9341732,"threshold_uncertainty_score":0.4651452,"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."}}