{"id":"W2963959020","doi":"","title":"3D printing & medical education: developing simulated vaginal models for pediatric gynecology training","year":2018,"lang":"en","type":"article","venue":"Medical Education Scholarship Forum Proceedings","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Training (meteorology); Medicine; Gynecology; Medical education; Obstetrics; Medical physics; Geography","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":[0.001056159,0.0006762681,0.0002103302,0.0003742181,0.0003329285,0.001205242,0.001154801,0.001259235,0.01031732],"category_scores_gemma":[0.00332769,0.0004814517,0.0006779617,0.0002668564,0.0003780058,0.0005935865,0.001240893,0.0005302646,0.001106815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005470714,"about_ca_system_score_gemma":0.001038091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001774358,"about_ca_topic_score_gemma":0.003083387,"domain_scores_codex":[0.9995751,0.0001528058,0.00002162549,0.0000334214,0.0001867151,0.00003043471],"domain_scores_gemma":[0.9987239,0.0008805901,0.00004670138,0.0001190877,0.0001258904,0.000103842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006161159,0.001148224,0.01102317,0.0008863197,0.00008930952,0.001509341,0.0021472,0.5074345,0.06206184,0.009905938,0.01377318,0.3894048],"study_design_scores_gemma":[0.0002098279,0.001545911,0.0063947,0.0003497414,0.0001175925,0.002053218,0.0008703308,0.8315237,0.08839236,0.005066527,0.0633004,0.0001756998],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4816616,0.0006147835,0.4669814,0.001321747,0.0005146751,0.0009072421,0.001150649,0.004888581,0.04195933],"genre_scores_gemma":[0.6256822,0.0007356204,0.36144,0.0002043357,0.00003052619,0.0004145553,0.000652965,0.0006786369,0.01016119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031732,"threshold_uncertainty_score":0.0345149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02686008666512438,"score_gpt":0.3195761307945005,"score_spread":0.2927160441293761,"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."}}