{"id":"W2998354219","doi":"10.1016/j.clinbiomech.2019.12.023","title":"Dynamics of spinal cord compression with different patterns of thoracolumbar burst fractures: Numerical simulations using finite element modelling","year":2019,"lang":"en","type":"article","venue":"Clinical Biomechanics","topic":"Spinal Fractures and Fixation Techniques","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; École de Technologie Supérieure; Hôpital du Sacré-Cœur de Montréal","funders":"Université de Montréal; Medtronic","keywords":"Comminution; Spinal cord; Spinal cord injury; Compression (physics); Burst fracture; Finite element method; Medicine; Biomedical engineering; Structural engineering; Materials science; Surgery; Engineering","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":[0.0002867909,0.0004231796,0.0004551451,0.0007061983,0.0005078943,0.0008029849,0.0007151803,0.001642823,0.002348575],"category_scores_gemma":[0.002316814,0.0004277232,0.0005783532,0.0006671444,0.001022689,0.000501894,0.0004519025,0.000537259,0.0002073577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007661146,"about_ca_system_score_gemma":0.000812983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01384844,"about_ca_topic_score_gemma":0.008208304,"domain_scores_codex":[0.9998429,0.00003763223,0.00001282789,0.00002020798,0.00004681804,0.00003958346],"domain_scores_gemma":[0.9991003,0.0005341218,0.0001291083,0.00004531411,0.0001124399,0.00007875002],"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":[0.0001107651,0.00009624755,0.004609593,0.00003436646,0.00001594634,0.0002608925,0.0001089386,0.9893584,0.002113845,0.0007188426,0.0001792392,0.002392815],"study_design_scores_gemma":[0.00001496855,0.00004218301,0.002202484,0.000008697265,0.000005106163,0.00006419829,0.00007068442,0.9967762,0.0004355512,0.0002658396,0.0001057132,0.00000840347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980856,0.0002693381,0.01301479,0.0002850706,0.00003698709,0.00007212946,0.000304974,0.00008337095,0.005077483],"genre_scores_gemma":[0.9968342,0.00009555461,0.001805952,0.00002649524,0.000005964446,0.00003659615,0.0000830166,0.00001649433,0.001095711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01384844,"threshold_uncertainty_score":0.02753568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06289144017714024,"score_gpt":0.3988468116391001,"score_spread":0.3359553714619599,"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."}}