{"id":"W2130444772","doi":"10.1016/j.jbiomech.2015.08.021","title":"From the rhombic transposition flap toward Z-plasty: An optimized design using the finite element method","year":2015,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Transposition (logic); Finite element method; von Mises yield criterion; Tension (geology); Structural engineering; Deformation (meteorology); Stress (linguistics); Process (computing); Convergence (economics); Materials science; Computer science; Closure (psychology); Configuration design; Feature (linguistics); Mathematics; Geometry; Engineering; Composite material; Compression (physics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000371697,0.0004983346,0.0004729216,0.0004409418,0.0001818948,0.0006002791,0.0007402714,0.0006970233,0.003371763],"category_scores_gemma":[0.0004312858,0.0004722684,0.0007354096,0.0002094317,0.0002844379,0.0004006122,0.0005657568,0.0005735379,0.0007734726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644583,"about_ca_system_score_gemma":0.0006153707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005175957,"about_ca_topic_score_gemma":0.0006633151,"domain_scores_codex":[0.9998196,0.00004668858,0.00001134416,0.00002570669,0.00008102176,0.00001574202],"domain_scores_gemma":[0.9998955,0.00003831168,0.00001537769,0.00001390363,0.00002916701,0.000007799406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002502505,0.000178599,0.001771259,0.0002675675,0.00007094913,0.0003331466,0.0001384799,0.7467812,0.07970636,0.01144931,0.001488463,0.1575643],"study_design_scores_gemma":[0.00005549482,0.0002366252,0.0006328491,0.00003614769,0.00004174739,0.0004786111,0.00003798364,0.9832863,0.007848077,0.002157396,0.005161372,0.00002742455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05038796,0.0001599951,0.9441612,0.0001151936,0.00004892165,0.0001111841,0.00004417326,0.0002585254,0.004712913],"genre_scores_gemma":[0.4228981,0.0003970293,0.5715803,0.00009635343,0.00002123486,0.0003022486,0.0001011678,0.0002133806,0.004390238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003371763,"threshold_uncertainty_score":0.0112797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050385427494455,"score_gpt":0.3415801098700747,"score_spread":0.2365415671206292,"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."}}