{"id":"W1193367861","doi":"10.1007/s10439-015-1420-6","title":"Laboratory Validation of Two Wearable Sensor Systems for Measuring Head Impact Severity in Football Players","year":2015,"lang":"en","type":"article","venue":"Annals of Biomedical Engineering","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":147,"is_retracted":false,"has_abstract":false,"ca_institutions":"Advantage Forensics (Canada); University of British Columbia","funders":"Centers for Disease Control and Prevention","keywords":"Wearable computer; Football; Head (geology); Computer science; Physical medicine and rehabilitation; Simulation; Human–computer interaction; Aeronautics; Engineering; Medicine; Embedded system; Geology; Geography","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":[0.001224739,0.001122624,0.0005792422,0.0007856147,0.0003911951,0.0009371463,0.001254658,0.001628362,0.001250838],"category_scores_gemma":[0.002764295,0.0004040142,0.0004363668,0.0005865674,0.0005383483,0.0005539374,0.0007076201,0.000452741,0.0005748075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003216827,"about_ca_system_score_gemma":0.0005767975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001096979,"about_ca_topic_score_gemma":0.001634111,"domain_scores_codex":[0.9982647,0.0003877079,0.0001621756,0.0004287727,0.0006210984,0.0001355532],"domain_scores_gemma":[0.9982172,0.0004544088,0.0002105376,0.0001906553,0.0007890208,0.0001382112],"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":[0.003779408,0.002702106,0.08806846,0.0009654052,0.0004370326,0.0005085279,0.001039696,0.002719474,0.8225137,0.0003057702,0.00129734,0.07566309],"study_design_scores_gemma":[0.00104382,0.03283361,0.2311152,0.0002465028,0.001029139,0.003049659,0.002032432,0.04999923,0.67252,0.0007463555,0.005186082,0.000197991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473338,0.000436493,0.04930697,0.0001814993,0.0002761797,0.0004533789,0.0006132668,0.0003479774,0.001050389],"genre_scores_gemma":[0.9790521,0.0002431213,0.01825561,0.0002374303,0.00005468465,0.0004232088,0.000436619,0.00002482362,0.001272396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001628362,"threshold_uncertainty_score":0.006477118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1970142650259522,"score_gpt":0.407968895380769,"score_spread":0.2109546303548168,"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."}}