{"id":"W2102726139","doi":"10.1080/10255842.2013.766724","title":"A centric/non-centric impact protocol and finite element model methodology for the evaluation of American football helmets to evaluate risk of concussion","year":2013,"lang":"en","type":"article","venue":"Computer Methods in Biomechanics & Biomedical Engineering","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Concussion; Football; Poison control; Protocol (science); Physical medicine and rehabilitation; Traumatic brain injury; Injury prevention; Angular acceleration; Acceleration; Computer science; Medicine; Physics; Medical emergency; Pathology; Psychiatry","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":[0.001639348,0.0006544171,0.0003280268,0.0009014832,0.0003961454,0.000468212,0.000726075,0.000629559,0.00164149],"category_scores_gemma":[0.002968308,0.0003682637,0.0004938547,0.0006309628,0.0004783483,0.0003181245,0.0006164155,0.0005135848,0.0002686121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004396968,"about_ca_system_score_gemma":0.00175729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003276449,"about_ca_topic_score_gemma":0.005956733,"domain_scores_codex":[0.999204,0.0002142405,0.0000734762,0.00007437117,0.0003920844,0.00004176526],"domain_scores_gemma":[0.999049,0.000331556,0.0001405818,0.0001343749,0.0003155233,0.00002906954],"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":[0.0009589595,0.001679875,0.03259744,0.0006877809,0.0001393837,0.0004984571,0.0007503422,0.3927937,0.3691466,0.005554548,0.001630599,0.1935622],"study_design_scores_gemma":[0.00009653299,0.004518548,0.04344018,0.0001531803,0.0001036102,0.0005279147,0.000582415,0.8608781,0.08215495,0.001844094,0.005555544,0.0001449726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4638351,0.0002485885,0.5276327,0.000122984,0.00009508052,0.002704549,0.0004615043,0.0004022973,0.004497173],"genre_scores_gemma":[0.7476239,0.0002541069,0.2470886,0.00007946589,0.00001082834,0.002744185,0.0004005042,0.00006364151,0.001734786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003276449,"threshold_uncertainty_score":0.008669794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09180358229266415,"score_gpt":0.4429215473259063,"score_spread":0.3511179650332422,"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."}}