{"id":"W4200578224","doi":"10.1109/iccma54375.2021.9646209","title":"Implementation of Lean Tools to Improve Mass Production of a Laser Cladding Process","year":2021,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Value stream mapping; Cladding (metalworking); Manufacturing engineering; Computer science; Material flow; Welding; Standardization; Mechanical engineering; Lean manufacturing; Process engineering; Reliability engineering; Materials science; Engineering; Metallurgy","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":[0.00006348911,0.00006963516,0.0001203386,0.00003707741,0.00001346862,0.00001413589,0.0000387773,0.00002076892,0.0006264051],"category_scores_gemma":[0.00003526794,0.00006569442,0.0000185059,0.0001087418,0.000006653624,0.000138,0.00001288072,0.00002417199,0.000003305433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001348513,"about_ca_system_score_gemma":0.00001965187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001217531,"about_ca_topic_score_gemma":0.00002561185,"domain_scores_codex":[0.9995077,0.000005253791,0.000193612,0.0001135626,0.00008544377,0.00009443673],"domain_scores_gemma":[0.9997201,0.00001302986,0.00003726368,0.00008540695,0.0001233546,0.00002085856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001132699,0.00001032086,0.0003267289,0.001177959,0.0000364195,9.273862e-7,0.0006086287,0.00763509,0.9735309,0.0001091661,0.0004457083,0.01610675],"study_design_scores_gemma":[0.00008754477,0.00002873525,0.001464148,0.00003053607,0.000009312403,8.455663e-7,0.001183769,0.00002441358,0.9965088,0.000238571,0.0003494018,0.00007386303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939871,0.00001178638,0.00443592,0.0000449705,0.0002775926,0.0001375519,0.0000403054,0.00005695819,0.001007748],"genre_scores_gemma":[0.9981883,0.000007434377,0.001509434,0.00001111295,0.00007718849,0.00002320907,0.00002047782,0.000013352,0.0001494655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02297788,"threshold_uncertainty_score":0.6858697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370705326942176,"score_gpt":0.2666393679995944,"score_spread":0.2529323147301726,"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."}}