{"id":"W3008739244","doi":"10.1093/asj/sjaa048","title":"Step-Specific Simulation: The Utility of 3D Printing for the Fabrication of a Low-Cost, Learning Needs-Based Rhinoplasty Simulator","year":2020,"lang":"en","type":"article","venue":"Aesthetic Surgery Journal","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Rhinoplasty; Medicine; 3D printing; Modular design; 3d printed; Simulation; 3d printer; Medical physics; Surgery; Nose; Computer science; Mechanical engineering; Biomedical engineering; Engineering","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":[0.0005069553,0.0004895502,0.0001646172,0.0003881832,0.0001398771,0.0005099261,0.0007388914,0.0004402408,0.005310898],"category_scores_gemma":[0.001475517,0.0002755751,0.000633885,0.0001513952,0.0002410769,0.0002703611,0.0008739259,0.0003242494,0.0009959694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002001476,"about_ca_system_score_gemma":0.0004191993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005022333,"about_ca_topic_score_gemma":0.0008617681,"domain_scores_codex":[0.9996468,0.00007899458,0.0000251086,0.00003097121,0.0001978287,0.00002024578],"domain_scores_gemma":[0.9994501,0.0002829123,0.00003756064,0.0001197694,0.00007070784,0.00003898383],"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":[0.0004583324,0.0004311198,0.00744953,0.0006183421,0.00008875347,0.001424801,0.00050634,0.1514173,0.4552003,0.003154124,0.004061559,0.3751896],"study_design_scores_gemma":[0.0002184116,0.004100412,0.02043103,0.0001979356,0.0002186538,0.009467028,0.0002846698,0.4952933,0.4031954,0.003355999,0.06292211,0.0003151556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2140952,0.0003252446,0.7670889,0.0002638249,0.0001188199,0.0007435713,0.000396786,0.002940421,0.01402705],"genre_scores_gemma":[0.4860305,0.000345341,0.5087984,0.0001048624,0.00002238581,0.0003109283,0.0003038839,0.0002728767,0.003810831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005310898,"threshold_uncertainty_score":0.01776671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08094691075204759,"score_gpt":0.3022108442784904,"score_spread":0.2212639335264428,"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."}}