{"id":"W3162593717","doi":"10.5267/j.dsl.2021.1.004","title":"Performance measurement of supply chains and distribution industry using balanced scorecard and fuzzy analysis network process","year":2021,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balanced scorecard; Ranking (information retrieval); Weighting; Dimension (graph theory); Fuzzy logic; Performance measurement; Performance indicator; Rank (graph theory); Computer science; Customer satisfaction; Process (computing); Analytic network process; Analytic hierarchy process; Mathematics; Process management; Operations research; Business; Artificial intelligence; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001059459,0.0001242568,0.0002533448,0.0002241739,0.0003980073,0.0002407274,0.0001656873,0.00004162879,0.000009799842],"category_scores_gemma":[0.0002207852,0.0001105869,0.00004208718,0.0032702,0.0003724818,0.000820086,0.0002809226,0.0001248377,0.000001161121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005263332,"about_ca_system_score_gemma":0.00004006402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003714449,"about_ca_topic_score_gemma":0.00004631659,"domain_scores_codex":[0.9981652,0.000008107251,0.0002595946,0.0004062968,0.0008847736,0.0002759921],"domain_scores_gemma":[0.9991164,0.0000269556,0.0001785966,0.0002082575,0.0004482511,0.00002158539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001020867,0.000009720704,0.9649185,0.00002431101,0.00002275897,0.000003883493,0.00002648984,0.0005453863,0.006684026,0.00002345597,0.00002937049,0.02770192],"study_design_scores_gemma":[0.0002057215,0.000002779596,0.984948,0.0001137353,0.0002417437,0.000002653983,0.0001568442,0.0136909,0.0003810687,0.00001432557,0.0001078549,0.0001343016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973724,0.000190477,0.001572675,0.0005704302,0.0001372712,0.00009797066,0.000003365803,0.00001508614,0.00004033855],"genre_scores_gemma":[0.9993709,0.00002271875,0.0003036676,0.0002390756,0.00004795246,0.000004661671,0.000004855737,0.000004660377,0.000001559641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02756762,"threshold_uncertainty_score":0.4509604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04173067265557971,"score_gpt":0.278082007127336,"score_spread":0.2363513344717563,"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."}}