{"id":"W2939188798","doi":"10.29173/mocs27","title":"3D Motion-based Ergonomic and Body Posture Analysis in Construction","year":2016,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Work (physics); Human factors and ergonomics; Animation; Body posture; Risk analysis (engineering); Body segment; Computer science; Human body; Motion (physics); Engineering; Poison control; Physical medicine and rehabilitation; Mechanical engineering; Business; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003424539,0.0003418649,0.0002228704,0.001497168,0.0001910087,0.0005098177,0.0002497056,0.0004633428,0.001317578],"category_scores_gemma":[0.0008852151,0.00029832,0.0004354356,0.0005669168,0.0003103157,0.0002487354,0.0005614201,0.0001715148,0.0002823015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287172,"about_ca_system_score_gemma":0.0002992615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005001475,"about_ca_topic_score_gemma":0.006035255,"domain_scores_codex":[0.9998049,0.00006790477,0.000008925655,0.00003157736,0.00006827868,0.00001841786],"domain_scores_gemma":[0.9997984,0.00008245908,0.00003928536,0.00002283665,0.00003911414,0.00001794352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008475903,0.0003023626,0.07997805,0.0004784635,0.0001567757,0.0008991328,0.002218254,0.3093092,0.1666653,0.001986027,0.001681964,0.4354768],"study_design_scores_gemma":[0.0000242881,0.0004008311,0.2813123,0.0001264399,0.00005685086,0.0008069321,0.001057012,0.697663,0.01326724,0.001803357,0.003399586,0.00008217781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6727046,0.0004098729,0.3220739,0.0001377897,0.0000341583,0.0001450133,0.0004429391,0.0005554803,0.003496204],"genre_scores_gemma":[0.9451528,0.0002445295,0.05320213,0.00002248594,0.000009275132,0.0000609885,0.0002554678,0.00004235902,0.001009929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005001475,"threshold_uncertainty_score":0.009944737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838738150421708,"score_gpt":0.3293752645898265,"score_spread":0.3109878830856094,"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."}}