{"id":"W2938037888","doi":"10.1177/1045389x19844027","title":"Development of a multiaxis active seat mount to mitigate helicopter aircrew whole-body vibration exposure","year":2019,"lang":"en","type":"article","venue":"Journal of Intelligent Material Systems and Structures","topic":"Effects of Vibration on Health","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; National Research Council Canada","funders":"National Research Council Canada; Defence Research and Development Canada","keywords":"Aircrew; Vibration; Engineering; Mount; Shaker; Automotive engineering; Actuator; Whole body vibration; Structural engineering; Acoustics; Aeronautics; Mechanical engineering; Electrical engineering; Physics","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":[0.0003580495,0.0001726147,0.0005635853,0.000230411,0.00004751307,0.00007424432,0.00008171552,0.0001147227,0.0001316664],"category_scores_gemma":[0.00005725121,0.0001183825,0.00006801623,0.00007983704,0.00002009681,0.0001620219,0.00003426494,0.0001205691,0.00001159222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001638133,"about_ca_system_score_gemma":0.0001816728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007062021,"about_ca_topic_score_gemma":0.000008264244,"domain_scores_codex":[0.9981816,0.00009037971,0.0009309286,0.0001559729,0.0004730526,0.0001681059],"domain_scores_gemma":[0.9986567,0.0000388536,0.0005196075,0.0001439373,0.0004097792,0.0002311275],"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":[0.001734379,0.0000452955,0.001737273,0.001084416,0.0001749817,0.00001225645,0.0033054,0.0003088614,0.9862885,0.0003806288,0.0001284271,0.004799597],"study_design_scores_gemma":[0.001107576,0.001941295,0.06119416,0.001252069,0.0000483947,0.0002701624,0.001509795,0.0001734207,0.9257903,0.00003082105,0.00650555,0.0001764674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956306,0.0002127669,0.001567612,0.0002377637,0.00146911,0.0008074751,0.00002318772,0.000008461537,0.00004301443],"genre_scores_gemma":[0.9960486,0.00002290832,0.003317827,0.0001303689,0.0003837641,0.000006343969,0.00001209649,0.00001727697,0.00006078607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0604982,"threshold_uncertainty_score":0.4827497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298767518753625,"score_gpt":0.2874971759156892,"score_spread":0.274509500728153,"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."}}