{"id":"W3190116844","doi":"10.1108/k-03-2021-0202","title":"A best-worst-method-based performance evaluation framework for manufacturing industry","year":2021,"lang":"en","type":"article","venue":"Kybernetes","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stakeholder; Originality; Manufacturing; Computer science; Manufacturing engineering; Quarter (Canadian coin); Multiple-criteria decision analysis; Balanced scorecard; Performance measurement; Metric (unit); Operations management; Business; Operations research; Process management; Engineering; Marketing; Economics; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02000196,0.002032051,0.001213051,0.007813508,0.001589212,0.005222318,0.002017115,0.001221451,0.003416182],"category_scores_gemma":[0.01720299,0.0004313276,0.001700719,0.004510069,0.001804944,0.00319318,0.002740974,0.001916503,0.0005411147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006118224,"about_ca_system_score_gemma":0.006430548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008347517,"about_ca_topic_score_gemma":0.01074411,"domain_scores_codex":[0.9811338,0.01026833,0.001171959,0.001009529,0.005773065,0.0006433698],"domain_scores_gemma":[0.991681,0.003375732,0.001085338,0.00051099,0.003112168,0.0002346728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001660779,0.0004824254,0.01116101,0.001569771,0.0002921295,0.0003138618,0.001302861,0.2865783,0.005394868,0.3536918,0.01008792,0.328959],"study_design_scores_gemma":[0.00005608792,0.0007203202,0.005915354,0.0009512934,0.000131863,0.0003931802,0.002176374,0.7489122,0.00490394,0.1951655,0.04049364,0.0001802847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006590374,0.0006082571,0.9789241,0.0006507114,0.00005971767,0.0005374025,0.0002660088,0.0003682567,0.01199521],"genre_scores_gemma":[0.1753019,0.0003137961,0.8216585,0.0001055944,0.00003960636,0.0006931166,0.0003515226,0.00007554686,0.001460452],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02000196,"threshold_uncertainty_score":0.1057817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05816575229307504,"score_gpt":0.319177170201192,"score_spread":0.2610114179081169,"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."}}