{"id":"W1992152996","doi":"10.1109/jlt.2015.2414821","title":"In-Fiber Bragg Grating Impact Force Transducer for Studying Head–Helmet Mechanical Interaction in Head Impact","year":2015,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Traumatic Ocular and Foreign Body Injuries","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Transducer; Impact; Fiber Bragg grating; Acoustics; Calibration; Repeatability; Sensitivity (control systems); Head (geology); Transient (computer programming); Finite element method; Materials science; Structural engineering; Engineering; Optics; Physics; Optical fiber; Computer science; Electronic engineering; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001054887,0.0002234349,0.000844358,0.001275032,0.00003387388,0.00002292835,0.0001549665,0.0003160597,0.00007347949],"category_scores_gemma":[0.0004511139,0.0001544004,0.0003457476,0.000545106,0.00006582041,0.0003768084,0.00002708144,0.0008000887,0.000005923277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000561142,"about_ca_system_score_gemma":0.0002522979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004436809,"about_ca_topic_score_gemma":0.0001244283,"domain_scores_codex":[0.9980573,0.00005585979,0.001022697,0.0001824238,0.0002804235,0.0004012629],"domain_scores_gemma":[0.9988683,0.0001331224,0.0003844538,0.0002134212,0.0002415407,0.0001591025],"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":[0.03148798,0.008105574,0.4018235,0.001013992,0.00402206,0.00405769,0.02069545,0.001656028,0.3705087,0.01797594,0.007031788,0.1316213],"study_design_scores_gemma":[0.1037399,0.08863409,0.1180734,0.007855284,0.001825821,0.04187674,0.03056995,0.01109929,0.318398,0.2675725,0.007734247,0.002620717],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934816,0.0004065423,0.00228578,0.002754961,0.0002258297,0.0004720943,0.000007203264,0.00003461659,0.0003313322],"genre_scores_gemma":[0.9947289,0.00001553605,0.004880531,0.00009336352,0.0001721474,0.000009609056,0.000003470733,0.00003196693,0.00006447091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.28375,"threshold_uncertainty_score":0.6296267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06550249889390883,"score_gpt":0.4070206753685875,"score_spread":0.3415181764746787,"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."}}