{"id":"W2753662912","doi":"10.3390/s17092003","title":"Wearable Devices for Classification of Inadequate Posture at Work Using Neural Networks","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies; Université du Québec à Chicoutimi","keywords":"Wearable computer; Inertial measurement unit; Artificial neural network; Context (archaeology); Computer science; Artificial intelligence; Identification (biology); Center of pressure (fluid mechanics); Wearable technology; Work (physics); Set (abstract data type); Machine learning; Pattern recognition (psychology); Engineering; Embedded system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002986809,0.0006631627,0.0004863852,0.0008006766,0.0001808407,0.0003417895,0.0002641507,0.0005309552,0.00154245],"category_scores_gemma":[0.000723808,0.0001644377,0.0004057039,0.0006039427,0.0001060406,0.0002868049,0.0002856715,0.0002637579,0.0004485695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002295658,"about_ca_system_score_gemma":0.0001650941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001807148,"about_ca_topic_score_gemma":0.002298601,"domain_scores_codex":[0.9998061,0.00003436217,0.00001705619,0.00006105888,0.00005296829,0.00002855497],"domain_scores_gemma":[0.9998111,0.00007021519,0.00003504847,0.00001619507,0.00005557419,0.00001186632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001056619,0.0006595362,0.03198912,0.000298535,0.000210982,0.0003955101,0.0001562601,0.055061,0.0910311,0.0004468129,0.00205071,0.8166438],"study_design_scores_gemma":[0.00003559609,0.0004304515,0.05615937,0.0000594014,0.0001047197,0.0002514553,0.0001265575,0.9216043,0.01965776,0.0006300898,0.0009102845,0.0000300194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6509374,0.001408159,0.3414279,0.0001919952,0.0002677329,0.0001844562,0.000701074,0.001280448,0.003600856],"genre_scores_gemma":[0.9494942,0.0003357022,0.04785386,0.00004041878,0.00003820676,0.000125977,0.0003729089,0.00001425152,0.001724359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001807148,"threshold_uncertainty_score":0.005160034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05316670051248282,"score_gpt":0.337243856335103,"score_spread":0.2840771558226201,"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."}}