{"id":"W2962866587","doi":"10.2196/14310","title":"A Good Practice–Compliant Clinical Trial Imaging Management System for Multicenter Clinical Trials: Development and Validation Study","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Clinical trial; Protocol (science); Harmonization; Audit; Process management; Good laboratory practice; Medicine; Medical physics; Computer science; Quality assurance; Database; Engineering; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03173273,0.0002775415,0.00133221,0.0001668166,0.0001315786,0.000139543,0.0002432162,0.000213343,0.00004726644],"category_scores_gemma":[0.007375711,0.0001981404,0.0002919439,0.0001321512,0.0001255787,0.0002952836,0.0002470701,0.0009958171,0.0001153832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001154399,"about_ca_system_score_gemma":0.0002493607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003592714,"about_ca_topic_score_gemma":2.965541e-7,"domain_scores_codex":[0.9923716,0.000858222,0.004646824,0.0003580078,0.001334922,0.0004304435],"domain_scores_gemma":[0.9938021,0.003728797,0.001140092,0.0003981283,0.0001967062,0.0007341552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.0188582,0.003921213,0.05111969,0.002507469,0.001363353,0.0001155801,0.003908473,0.000003534578,0.000001422261,0.0006638937,0.003327383,0.9142098],"study_design_scores_gemma":[0.3342079,0.003070859,0.01287395,0.00221272,0.001527849,0.0002312905,0.03900361,0.3128869,0.00001018164,0.00001626277,0.2933581,0.0006002906],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424008,0.00006481429,0.03634128,0.002313543,0.003032417,0.01224578,0.000003856924,0.000207916,0.003389639],"genre_scores_gemma":[0.8927571,0.00008946093,0.100372,0.004218207,0.001363511,0.0006699958,0.00009343219,0.00005919803,0.0003770917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9136095,"threshold_uncertainty_score":0.9970349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068061179297186,"score_gpt":0.4905019789847784,"score_spread":0.3836958610550598,"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."}}