{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002555091,0.0001582872,0.0001725515,0.002158989,0.0007057895,0.001910499,0.0004053057,0.0002356262,0.001361531],"category_scores_gemma":[0.004160043,0.0001761832,0.0002051831,0.005905551,0.0008413547,0.001638897,0.001328112,0.0002990314,0.0001670147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644844,"about_ca_system_score_gemma":0.001720857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007329853,"about_ca_topic_score_gemma":0.01470347,"domain_scores_codex":[0.9982521,0.0005213101,0.0002655807,0.0002459849,0.0004346435,0.0002804132],"domain_scores_gemma":[0.9960045,0.001406352,0.001509059,0.0003070915,0.000588051,0.0001849127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000134204,0.00007081005,0.851944,0.0005454222,0.00009233953,0.0005890004,0.01654767,0.0006702188,0.001814586,0.005544382,0.0005645232,0.1214829],"study_design_scores_gemma":[0.000003601304,0.00009530819,0.952239,0.0003773897,0.00003969779,0.0004260697,0.0329192,0.0003503019,0.0007722279,0.0004320613,0.01232326,0.00002185378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913503,0.001284153,0.0003803366,0.0001365142,0.000007735762,0.00001302133,0.00007708532,0.000005410216,0.006745486],"genre_scores_gemma":[0.9979444,0.00108361,0.0003899146,0.00003165771,0.000002492084,0.000006452691,0.00006424008,0.000002878862,0.0004742681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007329853,"threshold_uncertainty_score":0.01457435,"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."}}