{"id":"W2147886131","doi":"10.1080/15389588.2014.880886","title":"Development, Calibration, and Validation of a Head–Neck Complex of THOR Mod Kit Finite Element Model","year":2014,"lang":"en","type":"article","venue":"Traffic Injury Prevention","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Sherbrooke; National Aeronautics and Space Administration","keywords":"Hybrid III; Crash test; Parametric statistics; Kinematics; Calibration; Head (geology); Finite element method; Crash; Simulation; Parametric model; Head and neck; Computer science; Structural engineering; Engineering; Mathematics; Surgery; Statistics; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007023879,0.0004373999,0.0003100501,0.000603951,0.0002573855,0.0004793018,0.001346051,0.0006513238,0.004871586],"category_scores_gemma":[0.001144498,0.0004014146,0.0005288863,0.0002600381,0.0003127208,0.0003900448,0.0005120604,0.0004836725,0.001691515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004345323,"about_ca_system_score_gemma":0.001126905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00475797,"about_ca_topic_score_gemma":0.005161442,"domain_scores_codex":[0.999619,0.00005573802,0.00003495619,0.00004656184,0.0002225317,0.00002124882],"domain_scores_gemma":[0.9993575,0.0001461101,0.00007125254,0.0001026837,0.000308547,0.00001393548],"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":[0.00009774495,0.0001007949,0.004967068,0.0002771484,0.0000343861,0.0001608505,0.0001930211,0.8478351,0.03619766,0.004375862,0.00276282,0.1029975],"study_design_scores_gemma":[0.00001745925,0.00009635435,0.002756851,0.00004798293,0.00002405326,0.000141855,0.00004277391,0.9648872,0.0145838,0.0004865762,0.01688641,0.000028583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06883587,0.0001291868,0.9165924,0.00008795148,0.00005719855,0.0003705512,0.001043605,0.002077952,0.01080522],"genre_scores_gemma":[0.4508301,0.0002918566,0.5324751,0.0000723606,0.00001554582,0.0009241634,0.003205237,0.0004762751,0.01170936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004871586,"threshold_uncertainty_score":0.01629704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05010113841026521,"score_gpt":0.3183854132035178,"score_spread":0.2682842747932526,"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."}}