{"id":"W1972468132","doi":"10.1007/s00170-013-5407-x","title":"Applying lean manufacturing system to improving productivity of airconditioning coil manufacturing","year":2013,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electromagnetic coil; Kaizen; Value stream mapping; Automotive engineering; Pinion; Engineering; Mechanical engineering; Lean manufacturing; Manufacturing engineering; Rack; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008733448,0.0003031619,0.0004576794,0.001276994,0.0002569367,0.0002443196,0.001767887,0.0001035875,0.0001083464],"category_scores_gemma":[0.0001791196,0.0002405974,0.0001777013,0.0001638688,0.0001306265,0.001690272,0.000957853,0.0005575687,0.00009511246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002689518,"about_ca_system_score_gemma":0.00002519793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003104144,"about_ca_topic_score_gemma":0.00003941859,"domain_scores_codex":[0.9974694,0.0000182285,0.0009597169,0.0003521929,0.0007674504,0.0004329918],"domain_scores_gemma":[0.9977124,0.0001100946,0.001311797,0.0004702914,0.0003649433,0.00003044533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004777695,0.0003220155,0.001020957,0.00139447,0.001000579,0.0002005693,0.0003811646,0.1187214,0.1021747,0.04483123,0.001186569,0.7282886],"study_design_scores_gemma":[0.001059956,0.00006690918,0.004307848,0.0005782582,0.00009397079,0.0001621272,0.004922125,0.0004743321,0.9466598,0.02379632,0.01743212,0.0004462575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816683,0.00004702832,0.008601841,0.006057498,0.001419829,0.0007817809,0.000002954725,0.0001951341,0.001225637],"genre_scores_gemma":[0.9955236,0.000007798196,0.002845821,0.0004960878,0.0008663831,0.0001136921,0.000004360297,0.0000408021,0.0001014756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8444851,"threshold_uncertainty_score":0.9811277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009067938635245333,"score_gpt":0.2248078006780166,"score_spread":0.2157398620427713,"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."}}