{"id":"W7125592111","doi":"10.1109/mecatronics-rem67547.2025.11349408","title":"From Data to Bottlenecks: Enhancing Workshop Performance Via Discrete-Event Simulation and Operator Modelling","year":2025,"lang":"","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Operator (biology); Sizing; Task (project management); Resource (disambiguation); Identification (biology); Plan (archaeology); Dual (grammatical number); Process (computing); Focus (optics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001727592,0.0003442728,0.0004602249,0.0003727335,0.0007652453,0.001000651,0.001570971,0.0002159609,0.0008676019],"category_scores_gemma":[0.0004764604,0.0002966108,0.00006722075,0.001687675,0.00008363278,0.001391992,0.00174889,0.0002522437,0.0001672618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008968994,"about_ca_system_score_gemma":0.0001669951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002649106,"about_ca_topic_score_gemma":0.00008888783,"domain_scores_codex":[0.9955627,0.0001102165,0.001466102,0.001664158,0.0007989837,0.0003978496],"domain_scores_gemma":[0.994359,0.002176273,0.0002106512,0.002603206,0.0003876271,0.000263283],"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":[0.00003853145,0.00004626819,0.0005966904,0.000008410063,0.00002080084,2.176905e-7,0.0004959109,0.8599001,0.0005994817,0.0004914668,0.0008076181,0.1369945],"study_design_scores_gemma":[0.0002387225,0.00002930292,0.0004938805,0.0002583421,0.00004986887,1.731494e-7,0.000839037,0.9683734,0.003092811,0.00386964,0.02242027,0.0003345968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2354848,0.0003991329,0.7601042,0.002137281,0.0002356902,0.0008083232,0.0001027009,0.00009067988,0.0006371174],"genre_scores_gemma":[0.9384134,0.0001786823,0.05612574,0.0009539781,0.0001788574,0.00004751685,0.00008267578,0.00001998658,0.003999152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7039785,"threshold_uncertainty_score":0.9999486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1589043285142497,"score_gpt":0.4522157119246171,"score_spread":0.2933113834103674,"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."}}