{"id":"W4210745362","doi":"10.1080/10255842.2022.2030730","title":"Modeling attachment and compressive loading of locking and non-locking plate fixation: a finite element investigation of a supracondylar femur fracture model","year":2022,"lang":"en","type":"article","venue":"Computer Methods in Biomechanics & Biomedical Engineering","topic":"Bone fractures and treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Humber Polytechnic; University of Waterloo; Sunnybrook Hospital; University of Toronto","funders":"","keywords":"Materials science; Finite element method; Fixation (population genetics); Femur; Tension (geology); Structural engineering; Orthodontics; Composite material; Surgery; Compression (physics); Engineering; Medicine","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":[0.0007535234,0.000227272,0.0005315579,0.0005219412,0.00007624677,0.0000140397,0.00009807827,0.0001210988,0.00001330719],"category_scores_gemma":[0.0000382062,0.0002184996,0.00006254888,0.0004211371,0.00003704503,0.00007640861,0.0003841889,0.0003808767,7.153273e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001189555,"about_ca_system_score_gemma":0.00005543014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004004445,"about_ca_topic_score_gemma":2.690493e-7,"domain_scores_codex":[0.9983183,0.00007613623,0.0006182925,0.0003656088,0.0003684423,0.0002532337],"domain_scores_gemma":[0.9991875,0.0002034659,0.0001970891,0.0001953376,0.00005317992,0.0001634466],"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":[0.0000907201,0.0001859736,0.0004567837,0.0007633123,0.0002565497,0.00004346219,0.003065596,0.7786686,0.1909553,0.0001853285,0.000009396502,0.02531902],"study_design_scores_gemma":[0.001673042,0.0003257818,0.0001164066,0.0004826257,0.00008336739,0.00003630721,0.00007877363,0.9839497,0.01255946,0.000449801,0.0000830351,0.0001617199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2667209,0.000662388,0.7320281,0.0001487899,0.0001302487,0.0002749586,0.00001504053,0.00001824243,0.000001352073],"genre_scores_gemma":[0.6455652,0.00005217017,0.354161,0.0001023821,0.00003148084,0.00002402608,0.0000431909,0.00001898484,0.000001532183],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3788444,"threshold_uncertainty_score":0.8910155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555612826625919,"score_gpt":0.3188494562084982,"score_spread":0.2932933279422391,"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."}}