{"id":"W2495456007","doi":"10.1016/j.jbiomech.2016.07.004","title":"Bandwidth and sample rate requirements for wearable head impact sensors","year":2016,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; University of North Carolina at Chapel Hill; National Institutes of Health; National Institute for Health and Care Research; National Institute of Biomedical Imaging and Bioengineering; University of Pennsylvania","keywords":"Wearable computer; Bandwidth (computing); Sample (material); Computer science; Head (geology); Telecommunications; Embedded system; Geology; Physics","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":[0.002168645,0.0007971924,0.001356421,0.001191519,0.0007070623,0.00178789,0.001498101,0.002170828,0.007658685],"category_scores_gemma":[0.0148984,0.0005857568,0.0005502169,0.0008364058,0.000318488,0.002207443,0.0008117332,0.0008760017,0.001982002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009122269,"about_ca_system_score_gemma":0.0007427817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00245323,"about_ca_topic_score_gemma":0.002110014,"domain_scores_codex":[0.9970077,0.0005723173,0.0002594978,0.0003863767,0.001357238,0.000416899],"domain_scores_gemma":[0.9830207,0.01142145,0.0006406493,0.0007117365,0.003968126,0.0002373816],"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":[0.01028848,0.0003914997,0.01462282,0.001926621,0.0002812594,0.00119133,0.001369175,0.014858,0.6890396,0.007099682,0.006750077,0.2521814],"study_design_scores_gemma":[0.0003427159,0.002555404,0.02875645,0.000409307,0.0005828415,0.006800399,0.0009892876,0.1806594,0.7586663,0.00335525,0.0166384,0.0002442077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4907738,0.005903089,0.482135,0.00315859,0.0005068801,0.0003939258,0.001480276,0.003997038,0.01165154],"genre_scores_gemma":[0.9595054,0.00105514,0.03172179,0.0005220808,0.0001879993,0.0002176741,0.00108546,0.0003657367,0.005338506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007658685,"threshold_uncertainty_score":0.02562088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04990542738976082,"score_gpt":0.3490209893295632,"score_spread":0.2991155619398024,"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."}}