{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002669865,0.0001462208,0.000585683,0.0004805152,0.00004004948,0.0000270607,0.000042281,0.0001233909,0.0002105058],"category_scores_gemma":[0.0006073614,0.0001231257,0.0001859636,0.0002394366,0.0001075243,0.0002376416,0.00002471232,0.0002087365,0.000004825402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498333,"about_ca_system_score_gemma":0.00118402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006436064,"about_ca_topic_score_gemma":7.889273e-7,"domain_scores_codex":[0.9979764,0.0001058398,0.000889021,0.0001445473,0.0007263932,0.0001578083],"domain_scores_gemma":[0.998466,0.0003601968,0.0002950285,0.00009028997,0.000652672,0.0001357852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000559589,0.0001263198,0.1410939,0.0004127794,0.0003143649,0.0002108898,0.0007203278,0.00001232408,0.04646432,0.00005148301,0.001733266,0.8083005],"study_design_scores_gemma":[0.0007463224,0.0003843449,0.7496846,0.002828872,0.0008394106,0.001670947,0.0002480068,0.0005939342,0.1516933,0.0010987,0.08982399,0.0003875541],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951615,0.002293468,0.001065697,0.0001043165,0.0008128696,0.0002686983,0.000005150757,0.00003260756,0.0002556502],"genre_scores_gemma":[0.9979564,0.0000932105,0.001608211,0.00003669906,0.0002407634,0.00000525165,0.000002684747,0.00002203669,0.00003474535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8079129,"threshold_uncertainty_score":0.5020921,"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."}}