{"id":"W3033505224","doi":"10.1186/s41205-020-00065-6","title":"Radiological Society of North America (RSNA) 3D Printing Special Interest Group (SIG) clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: abdominal, hepatobiliary, and gastrointestinal conditions","year":2020,"lang":"en","type":"article","venue":"3D Printing in Medicine","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Radiological Society of North America","keywords":"Medicine; Radiological weapon; Radiology; General surgery; Pancreatitis; Gastrointestinal pathology; Surgery; Internal medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002448537,0.0002466395,0.0008960579,0.0001737135,0.00008203126,0.00001105978,0.0004222977,0.000168784,0.0001607685],"category_scores_gemma":[0.01376977,0.0002145701,0.00006125117,0.0006670738,0.0008726341,0.0002460105,0.0004210405,0.0008777106,7.917398e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004636111,"about_ca_system_score_gemma":0.0001142441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006941721,"about_ca_topic_score_gemma":0.0003293605,"domain_scores_codex":[0.9965594,0.0002605527,0.001703899,0.0007280675,0.0003652876,0.0003828093],"domain_scores_gemma":[0.9967422,0.001929464,0.0004475475,0.0004330655,0.0002328405,0.0002148427],"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":[0.0003472537,0.0004066857,0.4460898,0.001044862,0.0001082874,0.0001330952,0.003907306,0.0002168574,0.003379528,0.0003810955,0.0007069558,0.5432783],"study_design_scores_gemma":[0.00321063,0.0003704424,0.1818366,0.00101737,0.00006607952,0.00009773184,0.003234611,0.8093396,0.00008494555,0.000153875,0.0003949016,0.0001931315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.812517,0.00007842972,0.1831232,0.003183884,0.0001254478,0.0007305673,0.00001951606,0.0001288328,0.00009318309],"genre_scores_gemma":[0.8988827,0.0003211863,0.09964694,0.0003496454,0.0005129171,0.00003920874,0.000220427,0.00002548087,0.000001532205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8091228,"threshold_uncertainty_score":0.9945377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226542182349951,"score_gpt":0.3742900977387177,"score_spread":0.2516358795037226,"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."}}