{"id":"W4249991517","doi":"10.1007/978-3-319-20152-8_8","title":"Lean Manufacturing","year":2015,"lang":"en","type":"book-chapter","venue":"Materials forming, machining and tribology","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Lean manufacturing; Manufacturing engineering; Advanced manufacturing; Lean laboratory; Manufacturing process; Manufacturing; Process (computing); Engineering; Business; Computer science; Marketing; Materials science","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":[0.0004390255,0.000839886,0.0003076451,0.001329337,0.0008521987,0.002656549,0.000740951,0.0008757506,0.06215011],"category_scores_gemma":[0.000657158,0.000273367,0.0002957839,0.001111518,0.0006610609,0.001484911,0.001380963,0.00106591,0.03223888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008814714,"about_ca_system_score_gemma":0.001037006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008114823,"about_ca_topic_score_gemma":0.001730664,"domain_scores_codex":[0.999424,0.00005344298,0.00001794111,0.00008054157,0.0003777888,0.00004628657],"domain_scores_gemma":[0.9997409,0.0000447979,0.00001553403,0.00006904684,0.0001032807,0.00002643114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000368603,0.00005919022,0.0001553372,0.0002230052,0.000009798084,0.0001359316,0.0002452995,0.001807064,0.005356474,0.2778062,0.1264137,0.5877512],"study_design_scores_gemma":[0.000005492881,0.00002791653,0.0002744115,0.0001281106,0.000004008443,0.0001965082,0.00009282852,0.001680241,0.003250016,0.06267408,0.9316556,0.0000106879],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002017532,0.002552561,0.07555225,0.001303363,0.0008169345,0.00008495977,0.0002699959,0.001399574,0.9160029],"genre_scores_gemma":[0.0334443,0.003770252,0.04436057,0.001047342,0.0002866675,0.0001173436,0.0006681326,0.0003432954,0.9159622],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06215011,"threshold_uncertainty_score":0.2079128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0440243382751563,"score_gpt":0.2506041040483904,"score_spread":0.2065797657732341,"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."}}