{"id":"W2086562491","doi":"10.4028/www.scientific.net/amm.330.737","title":"Development of Quality Cost Model within a Supply Chain Environment","year":2013,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Quality costs; Quality (philosophy); Risk analysis (engineering); Identification (biology); Quality management; Supply chain; Reliability engineering; Computer science; Cost driver; Engineering; Operations management; Business; Cost control; Management system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001457439,0.0007967796,0.0007474843,0.001299182,0.0007413261,0.002110219,0.0023555,0.0020481,0.005631197],"category_scores_gemma":[0.002886649,0.0006549646,0.001254057,0.001953162,0.000545878,0.002846837,0.0008710502,0.001444927,0.0006556211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00320897,"about_ca_system_score_gemma":0.00310975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03020195,"about_ca_topic_score_gemma":0.0122463,"domain_scores_codex":[0.9990445,0.0002486563,0.00005549775,0.000129657,0.0003732828,0.0001484797],"domain_scores_gemma":[0.9988218,0.0004720338,0.0001323885,0.00005782715,0.0004657374,0.00005026674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001183519,0.00001827544,0.000435723,0.00003420912,0.000008255955,0.00006486742,0.00002713252,0.9751734,0.0002752551,0.01761959,0.000432242,0.005899323],"study_design_scores_gemma":[0.000005771042,0.00001437517,0.0001445446,0.000009622665,0.000008091652,0.0000197951,0.00001492961,0.9950935,0.0001403495,0.003559617,0.000982662,0.000006796772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03105182,0.0004304245,0.9415465,0.0007040859,0.00007012075,0.0002763656,0.0004819859,0.000343543,0.02509515],"genre_scores_gemma":[0.8148161,0.001334149,0.156793,0.0001583743,0.00006613354,0.0008599161,0.0008736061,0.0001867989,0.02491194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03020195,"threshold_uncertainty_score":0.06005228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03047981109121925,"score_gpt":0.2163050210426135,"score_spread":0.1858252099513942,"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."}}