{"id":"W4254244297","doi":"10.32920/ryerson.14662371","title":"MaRRS : a software system for generating multimedia radiology reports using Adobe Acrobat","year":2021,"lang":"en","type":"article","venue":"","topic":"Radiology practices and education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Multimedia; Computer science; Software; Construct (python library); Adobe; World Wide Web; Operating system","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":[0.001946155,0.001977449,0.0006610362,0.002442551,0.0005494842,0.001924644,0.002488375,0.0009425108,0.0805827],"category_scores_gemma":[0.006555502,0.000957267,0.0006700034,0.001013073,0.0004473771,0.002481156,0.001514842,0.001304431,0.04847521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000479194,"about_ca_system_score_gemma":0.001120699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001494531,"about_ca_topic_score_gemma":0.001536912,"domain_scores_codex":[0.9989492,0.0001734104,0.0001483516,0.0001989928,0.0004706308,0.00005938275],"domain_scores_gemma":[0.9963588,0.001557318,0.0003236954,0.0004287572,0.001115888,0.0002155179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001219558,0.0003129724,0.001174268,0.001797954,0.0001398654,0.001237134,0.0007682929,0.002660861,0.07177678,0.008704252,0.4227287,0.4874794],"study_design_scores_gemma":[0.001018966,0.0006133425,0.003151952,0.0004602035,0.0001807718,0.003953369,0.0002368526,0.04288393,0.1138251,0.00888392,0.8243166,0.0004750929],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.005537019,0.000377465,0.4414439,0.0002566778,0.0003087101,0.0009445025,0.007996659,0.5185341,0.02460102],"genre_scores_gemma":[0.03879437,0.001361193,0.8265181,0.0004992678,0.0004573836,0.002034464,0.01981265,0.0543682,0.05615441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0805827,"threshold_uncertainty_score":0.269576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04708661749453142,"score_gpt":0.3388060621941375,"score_spread":0.2917194446996061,"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."}}