{"id":"W4387437758","doi":"10.5937/fme2302183s","title":"Differences in Kaizen implementation between countries and industry types in multinational supply chain","year":2023,"lang":"en","type":"article","venue":"FME Transaction","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada); Sheridan College","funders":"Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Kaizen; Multinational corporation; Business; Supply chain; Supply chain management; Operations management; Descriptive statistics; Industrial organization; Marketing; Engineering; Statistics; Mathematics; Lean manufacturing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005070637,0.00009301551,0.0001252359,0.000476603,0.00007439148,0.0001113523,0.00006152283,0.00008640587,0.0003581654],"category_scores_gemma":[0.000009875271,0.00009581471,0.00001649386,0.0004891179,0.00002822638,0.0007242998,0.000015458,0.0001552855,0.00006347309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003385537,"about_ca_system_score_gemma":0.000009053813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002171717,"about_ca_topic_score_gemma":0.003604247,"domain_scores_codex":[0.9991983,0.00002164503,0.000230607,0.0001775219,0.0001949637,0.0001770286],"domain_scores_gemma":[0.9998083,0.00005974305,0.00005421544,0.00004939075,0.00002182318,0.000006506222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002623408,0.00002290119,0.9780532,0.000152319,0.00001235344,0.000003901626,0.000471305,0.0001208776,0.00002503544,0.004204529,0.0002748868,0.01663242],"study_design_scores_gemma":[0.0007406345,0.000006717804,0.9880355,0.00003109024,0.0000127598,1.000509e-7,0.001630345,0.002796235,0.00002806944,0.002744271,0.003860963,0.0001133431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945117,0.00001189711,0.000500944,0.00417418,0.00009972233,0.0002536055,0.00001330828,0.00006718977,0.0003675046],"genre_scores_gemma":[0.9991956,0.0000216878,0.00002069243,0.0002368779,0.0001555532,0.00004491053,0.0001576986,0.000007866843,0.0001590844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01651908,"threshold_uncertainty_score":0.392166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03534167661064058,"score_gpt":0.2823961143008936,"score_spread":0.247054437690253,"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."}}