{"id":"W4399629296","doi":"10.1097/scs.0000000000010322","title":"Development and Preliminary Evaluation of A Soft Tissue Microtia Simulator","year":2024,"lang":"en","type":"article","venue":"Journal of Craniofacial Surgery","topic":"Reconstructive Facial Surgery Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Microtia; Computer science; Soft tissue; Biomedical engineering; Simulation; Engineering drawing; Imaging phantom; Fused deposition modeling; Surgery; Engineering; 3D printing; Medicine; Mechanical engineering; Radiology","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":[0.003009625,0.0005274664,0.0002655909,0.0005902892,0.0002230322,0.0004348259,0.0009832999,0.0005574164,0.001909621],"category_scores_gemma":[0.003481475,0.0002661793,0.0004987864,0.000190141,0.0004431169,0.0004480272,0.0009552881,0.0004593328,0.000368243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002889622,"about_ca_system_score_gemma":0.0008570955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004761447,"about_ca_topic_score_gemma":0.0007320581,"domain_scores_codex":[0.9985949,0.0004179577,0.0001377347,0.00009697098,0.0006521543,0.0001003206],"domain_scores_gemma":[0.9977559,0.0007790835,0.0001576875,0.0002597357,0.000697637,0.0003499108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008652484,0.005533858,0.02953669,0.0008421359,0.0001002732,0.001588293,0.00192871,0.04344623,0.7506242,0.00122081,0.0009806723,0.1633329],"study_design_scores_gemma":[0.0004156739,0.06591569,0.0663194,0.0002854559,0.0002841611,0.00749717,0.001859577,0.1694695,0.6523924,0.0007407249,0.03452693,0.0002932655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9075724,0.0002364219,0.08823194,0.000133662,0.00006876078,0.001422746,0.0002162887,0.0002847914,0.00183299],"genre_scores_gemma":[0.8109941,0.0005691997,0.1841746,0.0000956341,0.00002885825,0.0008046248,0.0006392243,0.00007336606,0.002620445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003009625,"threshold_uncertainty_score":0.01591665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04190053457803782,"score_gpt":0.3345642864892434,"score_spread":0.2926637519112055,"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."}}