{"id":"W4231771778","doi":"10.1504/ijspm.2021.115867","title":"Simulation-based decision support for production improvement using integrated ergonomic and productivity performance indicators","year":2021,"lang":"en","type":"article","venue":"International Journal of Simulation and Process Modelling","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Productivity; Context (archaeology); Human factors and ergonomics; Engineering; Process (computing); Production (economics); Factory (object-oriented programming); Manufacturing engineering; Risk analysis (engineering); Computer science; Poison control; Business","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":[0.0003008601,0.0001156887,0.0001492546,0.0002706693,0.00007478862,0.00007133079,0.00006025828,0.00005693991,0.0000048905],"category_scores_gemma":[0.0002138962,0.0001159571,0.00003152563,0.0001436447,0.000019522,0.0005885264,0.00001021889,0.0001092057,1.42307e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001158586,"about_ca_system_score_gemma":0.0001305795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.21857e-7,"about_ca_topic_score_gemma":9.183805e-7,"domain_scores_codex":[0.9990637,0.0000102983,0.0004393449,0.0001601061,0.0002339335,0.00009262728],"domain_scores_gemma":[0.9985162,0.000178061,0.0002207176,0.00005651275,0.0009815671,0.0000469207],"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":[0.000134755,0.00002495271,0.002102615,0.00007816614,0.00003839226,7.051925e-7,0.0002122364,0.9722526,0.000843394,0.000004890528,6.441759e-7,0.02430663],"study_design_scores_gemma":[0.0005768575,0.00004364106,0.0002034401,0.0001422207,0.0000292999,0.000006151945,0.00005352034,0.9897622,0.008800212,0.0001438865,0.0001251743,0.0001134221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4930464,0.00005145563,0.5064946,0.00002140649,0.0002852037,0.00008080911,0.000003011447,0.00001417352,0.000002878328],"genre_scores_gemma":[0.9659711,0.00003975136,0.03369023,0.00001622751,0.0002264609,0.000003098969,0.0000251532,0.00002131156,0.000006684787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4729247,"threshold_uncertainty_score":0.4728594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117604063905466,"score_gpt":0.2933092513509581,"score_spread":0.2721332107119034,"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."}}