{"id":"W150262072","doi":"10.22260/isarc2013/0057","title":"A Human Body Posture Sensor for Monitoring and Diagnosing MSD Risk Factors","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Elbow; Exoskeleton; Accelerometer; Engineering; Hinge; Computer science; Simulation; Computer vision; Structural engineering; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005859178,0.0001360163,0.0002243027,0.00007989081,0.001616775,0.00002295705,0.0002295219,0.0001567626,0.00004878928],"category_scores_gemma":[0.001252757,0.00008841576,0.00007057768,0.00015388,0.0000830805,0.0002187279,0.0001873523,0.0005816517,0.00001363218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008420134,"about_ca_system_score_gemma":0.00007220664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105729,"about_ca_topic_score_gemma":0.000005068249,"domain_scores_codex":[0.9985096,0.00003522647,0.0003849764,0.0002250206,0.0003141924,0.0005309096],"domain_scores_gemma":[0.997861,0.0008806757,0.0003026061,0.00009710585,0.0006783241,0.0001802657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003427199,0.00002884537,0.9836376,0.000728603,0.00001532763,2.129689e-8,0.001975975,2.832701e-7,0.009454294,0.0006922438,0.002790321,0.0006422664],"study_design_scores_gemma":[0.0005001245,0.0001141852,0.9890721,0.0002988999,0.00001783058,3.895837e-7,0.004047206,0.00007118512,0.001843147,0.00287489,0.001064919,0.00009506781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931641,0.0001134805,0.00000224741,0.002094653,0.0003053758,0.002330339,0.00004567993,0.00003608573,0.001907989],"genre_scores_gemma":[0.9974984,0.00006678775,0.0005964544,0.00006920796,0.0004577967,0.0003745291,0.000002419203,0.0000266641,0.0009077392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007611147,"threshold_uncertainty_score":0.999683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06540375971472602,"score_gpt":0.428219353009265,"score_spread":0.362815593294539,"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."}}