{"id":"W4408256249","doi":"10.1007/s10439-024-03652-4","title":"Development of a Detailed Finite Element Model of the BIPED MK2 and Verification of Fidelity in Two Cases of Blunt Impact","year":2025,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada; Carleton University; University of Victoria; University of Alberta","funders":"","keywords":"Blunt; Fidelity; Finite element method; Element (criminal law); High fidelity; Computer science; Mechanics; Simulation; Aerospace engineering; Engineering; Physics; Structural engineering; Medicine; Surgery; Political science; Electrical engineering; Law; Telecommunications","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":[0.0004799374,0.00008884002,0.0003767089,0.0002742631,0.000008368998,6.77258e-7,0.00008367968,0.00004889713,0.00001356593],"category_scores_gemma":[0.0002978655,0.00006391875,0.00007964858,0.000340799,0.0001074603,0.00002141026,0.0000659693,0.00007218395,5.591618e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002062773,"about_ca_system_score_gemma":0.0002054594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004760164,"about_ca_topic_score_gemma":0.000009845108,"domain_scores_codex":[0.998816,0.0000143176,0.000717339,0.0001021307,0.0002381241,0.0001121261],"domain_scores_gemma":[0.9993229,0.00009545786,0.0002087673,0.0001806948,0.0001479953,0.00004419541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002226304,0.0004680802,0.00188794,0.001869746,0.0002532534,0.000001178322,0.00144894,0.001908447,0.9800963,0.0009379613,0.00002952169,0.01087594],"study_design_scores_gemma":[0.001078029,0.0002416863,0.05068848,0.001200979,0.00005952023,8.883272e-7,0.0001496325,0.2617234,0.6845534,0.0001637627,0.00006637306,0.00007389867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784149,0.0002525059,0.02092593,0.0001129428,0.00002232841,0.0001806057,0.00007326326,0.000004289319,0.00001322294],"genre_scores_gemma":[0.9968653,0.00007851542,0.003001862,0.00002027158,0.000004330955,0.000005358234,0.00001258868,0.000004756486,0.00000699919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.295543,"threshold_uncertainty_score":0.2606531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04952519720660627,"score_gpt":0.3477700296405201,"score_spread":0.2982448324339138,"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."}}