{"id":"W2941506483","doi":"10.1108/tqm-11-2018-0151","title":"Supply chain network design based on cost of quality and quality level analysis","year":2019,"lang":"en","type":"article","venue":"The TQM Journal","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Concordia University","funders":"","keywords":"Supply chain; Novelty; Supply chain network; Computer science; Investment (military); Quality costs; Quality (philosophy); Customer satisfaction; Network planning and design; Operations research; Facility location problem; Supply chain management; Business; Operations management; Activity-based costing; Marketing; Economics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01068044,0.0001818109,0.0004679465,0.0002501802,0.0003063762,0.0002761453,0.0003992105,0.00005466108,0.001026844],"category_scores_gemma":[0.0001599473,0.0001236487,0.0002261897,0.0007809207,0.00009299852,0.0003272513,0.0001230682,0.0002984068,0.00008082027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000324367,"about_ca_system_score_gemma":0.00002604255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005680894,"about_ca_topic_score_gemma":0.000124984,"domain_scores_codex":[0.9977509,0.0004323103,0.0006652235,0.0002167127,0.0005982956,0.0003366049],"domain_scores_gemma":[0.9982265,0.0005245009,0.0006360589,0.0004446724,0.0001424948,0.0000257529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001666313,0.0004333606,0.3287681,0.0004646843,0.001378062,0.000009868814,0.0003335754,0.5040012,0.0002005775,0.1361559,0.01238531,0.01420299],"study_design_scores_gemma":[0.002014562,0.00006369932,0.8639007,0.0000997627,0.0007306652,0.000001312451,0.0007504229,0.1076862,0.00003269671,0.0131005,0.0111895,0.0004300164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.610359,0.000230591,0.3509505,0.02324172,0.0007796416,0.001385096,0.00002980909,0.00007812684,0.01294549],"genre_scores_gemma":[0.9928008,0.00001711093,0.000637322,0.005510599,0.0005217652,0.000005977223,0.00001252867,0.00001333857,0.0004806157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5351325,"threshold_uncertainty_score":0.9998863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1232425769880032,"score_gpt":0.3073612736060564,"score_spread":0.1841186966180531,"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."}}