{"id":"W4362588382","doi":"10.1097/gox.0000000000004898","title":"Utilization of a 3D Printed Simulation Training Model to Improve Microsurgical Training","year":2023,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bespoke; Training (meteorology); Medicine; Curriculum; Medical physics; Microsurgery; Limiting; Medical education; Physical therapy; Surgery; Psychology; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007743351,0.0002521665,0.0008274443,0.0002696613,0.0001127814,0.00006493845,0.000147322,0.0001527748,0.0002710931],"category_scores_gemma":[0.003526596,0.0002393872,0.0001823519,0.001470613,0.0001306007,0.0002599577,0.0001616841,0.0001599499,0.00005838752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001563172,"about_ca_system_score_gemma":0.0005148401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002523679,"about_ca_topic_score_gemma":0.000009728845,"domain_scores_codex":[0.9976696,0.00009727152,0.0008128284,0.0005561634,0.0003880234,0.0004760598],"domain_scores_gemma":[0.9963059,0.00256755,0.0002533097,0.0002111987,0.0003220066,0.0003399701],"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":[0.002955516,0.0001209001,0.05264836,0.00008725032,0.000296712,0.00006911953,0.002206288,0.3032371,0.0007201235,0.002724383,0.0000431482,0.6348911],"study_design_scores_gemma":[0.003111425,0.0001309192,0.06493981,0.0005210691,0.0001110559,0.00005866832,0.002038953,0.9264434,0.0002871425,0.001415258,0.0005632907,0.0003790378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668456,0.000007458275,0.02221812,0.00008094736,0.0005823503,0.0008294083,0.0001431004,0.0001686517,0.009124329],"genre_scores_gemma":[0.9960011,0.000003162928,0.003529373,0.0001334319,0.00006605968,0.00003892398,0.0001239889,0.00002663211,0.00007730657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6345121,"threshold_uncertainty_score":0.9761928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.147545215231401,"score_gpt":0.3685099988975798,"score_spread":0.2209647836661788,"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."}}