{"id":"W3043806097","doi":"10.33439/ergonomi.743276","title":"THE ERGONOMIC RISK ANALYSIS WITH REBA METHOD IN PRODUCTION LINE","year":2020,"lang":"en","type":"article","venue":"Ergonomi","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon University","funders":"","keywords":"Human factors and ergonomics; Production (economics); Production line; Work (physics); Multidisciplinary approach; Idle; Operations management; Risk analysis (engineering); Computer science; Engineering; Business; Poison control; Medicine; Environmental health; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000265843,0.0001540783,0.0002365929,0.0001116512,0.00009770053,0.00006426026,0.0001821741,0.00004552764,0.00002741435],"category_scores_gemma":[0.00003396297,0.0001150649,0.00008844714,0.0004094601,0.00002692764,0.0001021153,0.00002587776,0.0002587706,0.00004209909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076473,"about_ca_system_score_gemma":0.00002061797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009687377,"about_ca_topic_score_gemma":0.002217925,"domain_scores_codex":[0.9991639,0.00004309102,0.000265291,0.0002649311,0.00004650089,0.0002162915],"domain_scores_gemma":[0.9994811,0.00007527565,0.00006239232,0.0002859893,0.00001458542,0.00008061603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000116439,0.000008975131,0.0131156,0.000009255307,0.0004616496,0.000001204279,0.0007053241,0.9779239,0.0001888471,0.0003369188,0.0006136418,0.006518292],"study_design_scores_gemma":[0.0009896121,0.000195872,0.279843,0.00001483524,0.0006548884,0.000002022331,0.0004418408,0.6436296,0.005775706,0.0002809299,0.06734083,0.0008308686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909624,0.0002655846,0.007082364,0.0004543324,0.0001988992,0.0001590417,0.000006762826,0.0001439268,0.0007267013],"genre_scores_gemma":[0.9972529,0.000287199,0.001982952,0.00003735066,0.0002594212,0.00002252779,0.00001058366,0.00003298298,0.0001140572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3342943,"threshold_uncertainty_score":0.4692212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00909949644491631,"score_gpt":0.2031350169825943,"score_spread":0.194035520537678,"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."}}