{"id":"W2897646574","doi":"10.1115/1.4041702","title":"Plastic Energy Dissipation in Lumbar Spine Implants: A Contact Mechanics Point of View","year":2018,"lang":"en","type":"article","venue":"Journal of Engineering and Science in Medical Diagnostics and Therapy","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dissipation; Materials science; Mechanics; Plasticity; Asperity (geotechnical engineering); Implant; Gaussian; Lumbar; Lumbar spine; Surface roughness; Contact area; Composite material; Physics; Anatomy; Surgery; Medicine; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003408991,0.000706272,0.0006270524,0.0008385653,0.0003120087,0.0009574075,0.0008483762,0.001294648,0.001346805],"category_scores_gemma":[0.001194344,0.0003699795,0.0007214727,0.0005480504,0.0007255771,0.001099943,0.0005891723,0.0003521966,0.0003543181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004955062,"about_ca_system_score_gemma":0.0003197601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001299569,"about_ca_topic_score_gemma":0.0008751492,"domain_scores_codex":[0.9996351,0.00005794001,0.00002067553,0.00007002917,0.0001663473,0.00004985727],"domain_scores_gemma":[0.9996749,0.0001592696,0.00006956189,0.00003513401,0.00005064042,0.00001047404],"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":[0.0001053594,0.00006904079,0.003319416,0.000244012,0.00003648235,0.0008632927,0.0002114684,0.9181904,0.04708133,0.004733292,0.0003184289,0.02482764],"study_design_scores_gemma":[0.000002934681,0.00008724058,0.00215291,0.00002079801,0.00001475856,0.0003985415,0.0000561489,0.9889539,0.005816582,0.001662222,0.0008150808,0.0000188305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3398374,0.00588599,0.6351253,0.000563567,0.0001122133,0.000102279,0.0002569374,0.000220788,0.01789539],"genre_scores_gemma":[0.988223,0.001269534,0.005537582,0.00005063122,0.00002473917,0.00005208999,0.00006402267,0.00003430019,0.004744056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001346805,"threshold_uncertainty_score":0.004505455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009232994454633162,"score_gpt":0.2646187397579018,"score_spread":0.2553857453032686,"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."}}