{"id":"W4223994293","doi":"10.1016/j.medengphy.2022.103801","title":"Biomechanical design of a new percutaneous locked plate for comminuted proximal tibia fractures","year":2022,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Bone fractures and treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Toronto Metropolitan University; Victoria Hospital; McMaster University","funders":"Department of Surgery; Western University","keywords":"Stress shielding; Materials science; Tibia; Stiffness; Ultimate tensile strength; Composite material; Stress (linguistics); Biomechanics; Orthodontics; Implant; Surgery; Medicine; Anatomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001369926,0.0001864002,0.0004148833,0.00004748212,0.00006357652,0.000005764367,0.0001406184,0.00009909177,0.0002684815],"category_scores_gemma":[0.0001774257,0.0001580502,0.0001435575,0.0001855139,0.00002656327,0.00002181884,0.00008094827,0.0003817705,0.000002947987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008293841,"about_ca_system_score_gemma":0.0002217694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004909804,"about_ca_topic_score_gemma":4.681349e-7,"domain_scores_codex":[0.9986134,0.00001739994,0.000262412,0.000219084,0.0006029773,0.0002847164],"domain_scores_gemma":[0.9991688,0.0002075049,0.00006495278,0.0002291727,0.00003330762,0.0002962288],"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":[0.009275706,0.009607989,0.0004208062,0.002086871,0.005086177,0.005212005,0.005234372,0.2001188,0.2262214,0.006334612,0.06382652,0.4665748],"study_design_scores_gemma":[0.007269004,0.004009639,0.0003577034,0.0002517888,0.0005981863,0.001218111,0.00006292301,0.9291705,0.02222956,0.001515322,0.03279574,0.0005215384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1722658,0.0004561561,0.823171,0.001720969,0.0005137606,0.001501782,0.00008154305,0.0002594707,0.00002947537],"genre_scores_gemma":[0.9786619,0.000007917206,0.0202656,0.0003449871,0.0002969883,0.00005603256,0.000116853,0.0000542044,0.000195555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.806396,"threshold_uncertainty_score":0.64451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197517247745442,"score_gpt":0.2655046271544576,"score_spread":0.2457529023799134,"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."}}