{"id":"W2913904079","doi":"10.1007/s10439-018-02193-x","title":"Multi-Scale Modeling of Head Kinematics and Brain Tissue Response to Blast Exposure","year":2019,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Kinematics; Head (geology); Sagittal plane; Structural engineering; Transverse plane; Stiffness; Geology; Mechanics; Physics; Environmental science; Engineering; Medicine; Anatomy; Classical mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001484392,0.0003838792,0.0003220101,0.0003064998,0.0002157887,0.0005270093,0.0005392578,0.0008904422,0.001721738],"category_scores_gemma":[0.0006853346,0.0003359048,0.000506521,0.0002665147,0.0003534489,0.0003785814,0.0004265822,0.000253407,0.0003316035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000272674,"about_ca_system_score_gemma":0.0004510483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009420356,"about_ca_topic_score_gemma":0.007238597,"domain_scores_codex":[0.9999353,0.00001602499,0.000004796769,0.00001312976,0.00001983955,0.00001104227],"domain_scores_gemma":[0.9998325,0.0000743412,0.00003269146,0.00001739992,0.00002500048,0.00001801901],"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":[0.0000360481,0.00002092874,0.0008987079,0.00001354106,0.00001398768,0.00008003381,0.00003461994,0.9925788,0.004032313,0.0001732941,0.00006155794,0.002056174],"study_design_scores_gemma":[0.000002941735,0.00001979176,0.001304552,0.000001729207,0.00000428296,0.00001875865,0.00001583543,0.9980111,0.0004179008,0.0001290727,0.00006986148,0.000004080372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8260062,0.000364571,0.1662228,0.0002254937,0.00006482777,0.00006402315,0.0003657744,0.0004412015,0.0062452],"genre_scores_gemma":[0.9952176,0.0001166732,0.002934965,0.00001802916,0.000007271779,0.0000221364,0.00005549572,0.00002444471,0.001603507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009420356,"threshold_uncertainty_score":0.01873106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03757752309776985,"score_gpt":0.3310805953490016,"score_spread":0.2935030722512317,"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."}}