{"id":"W4285465240","doi":"10.32920/ryerson.14639736.v1","title":"Virtual Tools for Assessing Human and Organisational Factors in Production System Design","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Production (economics); Productivity; Virtual actor; Work (physics); Event (particle physics); Computer science; Sensitivity (control systems); Human factors and ergonomics; Discrete event simulation; Industrial engineering; Manufacturing engineering; Systems engineering; Simulation; Human–computer interaction; Engineering; Virtual reality; Poison control; 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":[0.002957828,0.001090568,0.0004564806,0.001351752,0.0003305467,0.002046085,0.0008248138,0.0006247099,0.004041658],"category_scores_gemma":[0.009486233,0.0004272264,0.0004552842,0.0005842932,0.0008616988,0.001282023,0.001664469,0.0004728044,0.0003532016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005035117,"about_ca_system_score_gemma":0.000551206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001158538,"about_ca_topic_score_gemma":0.001019541,"domain_scores_codex":[0.9974184,0.001762246,0.00009434831,0.000130542,0.0005251362,0.00006938218],"domain_scores_gemma":[0.9924235,0.00597436,0.0004101367,0.000727468,0.00027563,0.0001888081],"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":[0.001090656,0.0005065764,0.01233073,0.0008406989,0.0002871459,0.000321742,0.002712809,0.6681617,0.03154754,0.04561904,0.001929565,0.2346517],"study_design_scores_gemma":[0.0002636524,0.001752326,0.0112121,0.0003459544,0.0001527335,0.0002871401,0.001481401,0.885214,0.02121119,0.05427559,0.02360527,0.0001986228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1449606,0.0004223321,0.8428096,0.0001397573,0.00006306743,0.0002495819,0.0003039259,0.001158092,0.009893054],"genre_scores_gemma":[0.7303106,0.000242155,0.2676932,0.00003787428,0.00001716583,0.0004206191,0.0001646549,0.00008432141,0.0010294],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004041658,"threshold_uncertainty_score":0.01564264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06573363098982592,"score_gpt":0.2574210648669073,"score_spread":0.1916874338770814,"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."}}