{"id":"W1966779388","doi":"10.1016/j.jmsy.2014.05.010","title":"Cost performance dynamics in lean production leveling","year":2014,"lang":"en","type":"article","venue":"Journal of Manufacturing Systems","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Lean manufacturing; Production (economics); Scalability; Process (computing); Computer science; Manufacturing engineering; Industrial engineering; Engineering; Operations management; Economics","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":[0.002532496,0.0001350075,0.0002780513,0.0004662765,0.0001043034,0.000228574,0.0002453638,0.00004872914,0.00001234635],"category_scores_gemma":[0.0001031599,0.0001160202,0.00006607146,0.0001279982,0.00001948623,0.001149747,0.00006739696,0.0002595431,0.00005404997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039958,"about_ca_system_score_gemma":0.000009353317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001844211,"about_ca_topic_score_gemma":0.0001309855,"domain_scores_codex":[0.9985686,0.0000255467,0.0006565309,0.0001447057,0.0003745,0.0002301323],"domain_scores_gemma":[0.9990963,0.00002972752,0.0005974497,0.0001690584,0.00009456473,0.0000128756],"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":[0.0003706351,0.0004227106,0.1491936,0.007798989,0.0001834295,0.00006092497,0.0005808928,0.6934558,0.0001432706,0.02123162,0.006822465,0.1197356],"study_design_scores_gemma":[0.003249529,0.0001319841,0.1705255,0.003490979,0.0001707071,0.000170545,0.006909089,0.4535847,0.001937077,0.002141756,0.3564629,0.001225265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894722,0.00003629488,0.003374539,0.0007871017,0.002475096,0.000218927,2.358371e-7,0.00002614159,0.003609501],"genre_scores_gemma":[0.996944,0.00001447892,0.00006510683,0.0001567014,0.002333006,0.000004185072,0.000002877033,0.00001714581,0.0004625678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3496404,"threshold_uncertainty_score":0.4731164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03239422475769792,"score_gpt":0.2340873037367723,"score_spread":0.2016930789790743,"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."}}