{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002701708,0.0008402354,0.0005885695,0.005437016,0.0005233138,0.0009480276,0.0004955605,0.000461261,0.002958684],"category_scores_gemma":[0.005566722,0.0002264152,0.0009671486,0.0023844,0.0002887413,0.0006362901,0.0006409612,0.0004629113,0.0004886863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005595682,"about_ca_system_score_gemma":0.0005770288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004293723,"about_ca_topic_score_gemma":0.003976702,"domain_scores_codex":[0.9968513,0.001349631,0.0002061165,0.0003721282,0.00105676,0.0001641897],"domain_scores_gemma":[0.9953526,0.002298299,0.0008130546,0.0003092548,0.001131166,0.00009566954],"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":[0.001646571,0.00170032,0.4081672,0.001156249,0.0007175206,0.001180693,0.005119399,0.04217894,0.04746115,0.003938622,0.002116484,0.4846169],"study_design_scores_gemma":[0.00005378113,0.00266396,0.7884904,0.0002347258,0.000388194,0.001359808,0.005655282,0.1754566,0.01580961,0.003542462,0.00605531,0.0002898571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8489085,0.0005741353,0.1404133,0.0001427341,0.00004689682,0.0006802665,0.0006582086,0.0003940852,0.008181939],"genre_scores_gemma":[0.919796,0.0002169636,0.07664206,0.00002124394,0.00001717804,0.0003559725,0.0003255336,0.000033208,0.002591798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005437016,"threshold_uncertainty_score":0.01428819,"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."}}