{"id":"W2069837963","doi":"10.1109/iembs.2010.5627680","title":"Finite element analysis of an acetabular trial implant","year":2010,"lang":"en","type":"article","venue":"","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; École de Technologie Supérieure","funders":"","keywords":"Finite element method; Implant; Materials science; Structural engineering; Yield (engineering); Total hip arthroplasty; Biomedical engineering; Computer science; Mechanical engineering; Engineering; Composite material; Surgery; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004716357,0.0004023491,0.0004676507,0.0005414016,0.0003077663,0.0007017691,0.0007372104,0.001283763,0.003112946],"category_scores_gemma":[0.0008497095,0.0004282511,0.0006382844,0.0002889716,0.0005738154,0.0002767338,0.0004388322,0.0003034478,0.0006193594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004746235,"about_ca_system_score_gemma":0.0009532524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004593822,"about_ca_topic_score_gemma":0.003205736,"domain_scores_codex":[0.999751,0.00005153343,0.00001664088,0.00003129798,0.0001201673,0.00002936564],"domain_scores_gemma":[0.999665,0.0001665029,0.00003465473,0.00003050312,0.00008834724,0.00001503633],"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":[0.0001147278,0.00005325658,0.001480849,0.0001029009,0.00002217999,0.0001489673,0.0001234136,0.9660645,0.01781221,0.001806725,0.000368517,0.01190186],"study_design_scores_gemma":[0.00001170694,0.00005373395,0.0004544744,0.00001093167,0.000007075771,0.00003275547,0.00003859942,0.9965947,0.001707543,0.0002205903,0.0008595829,0.000008227003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4422558,0.0004241783,0.5367901,0.0003677026,0.00009815015,0.0002415448,0.0006412529,0.0007145667,0.01846669],"genre_scores_gemma":[0.9353592,0.0001389838,0.05691887,0.00004619746,0.000007206726,0.0002087308,0.0003244861,0.00007769721,0.006918618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004593822,"threshold_uncertainty_score":0.01041383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548871933262625,"score_gpt":0.2899640906137971,"score_spread":0.2744753712811708,"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."}}