{"id":"W2551023204","doi":"10.1123/jab.2016-0026","title":"Accuracy of a Wearable Sensor for Measures of Head Kinematics and Calculation of Brain Tissue Strain","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Biomechanics","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Kinematics; Head (geology); Angular acceleration; Wearable computer; Percentile; Acceleration; Biomechanics; Angular velocity; Calibration; Physics; Geodesy; Simulation; Computer science; Mathematics; Geology; Statistics; Classical mechanics","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":[0.002045423,0.0008677358,0.0004976791,0.000676802,0.000296971,0.0008266447,0.0005671548,0.0006300011,0.001125885],"category_scores_gemma":[0.01029722,0.0003080363,0.0004842874,0.0007094419,0.0004247716,0.0004655861,0.0008547461,0.0003209237,0.0005140606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004111189,"about_ca_system_score_gemma":0.0005555958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002794611,"about_ca_topic_score_gemma":0.003635522,"domain_scores_codex":[0.9982756,0.0004420943,0.0001908709,0.0003635393,0.000618175,0.0001096159],"domain_scores_gemma":[0.9961641,0.001284484,0.0006280166,0.0009277625,0.0008982206,0.00009749474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003098301,0.0003493794,0.519467,0.0004983837,0.0005711926,0.000270132,0.0007885083,0.05885081,0.1984521,0.0009912971,0.001810857,0.214852],"study_design_scores_gemma":[0.0001062417,0.002945435,0.6880589,0.0001897911,0.0003267389,0.001176363,0.000682924,0.1571859,0.1437556,0.001530983,0.003890526,0.0001506098],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8791465,0.0004360796,0.1162476,0.0001077994,0.000177617,0.000126677,0.001087025,0.0004708144,0.002199951],"genre_scores_gemma":[0.9769058,0.0001282471,0.02194107,0.00003649263,0.00001256857,0.00009077556,0.0004724257,0.00003581203,0.0003767085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002794611,"threshold_uncertainty_score":0.01081735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09433277894333371,"score_gpt":0.3768900826659913,"score_spread":0.2825573037226576,"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."}}