{"id":"W2055815063","doi":"10.1108/ijqrm-jan-2011-0016","title":"A cost of quality decision support model for lean manufacturing: activity‐based costing application","year":2013,"lang":"en","type":"article","venue":"International Journal of Quality & Reliability Management","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Activity-based costing; Quality costs; Lean manufacturing; Quality (philosophy); Operations management; Value (mathematics); Computer science; Business; Operations research; Manufacturing engineering; Engineering; Marketing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006839859,0.0003306208,0.0006501656,0.0006024805,0.0001464731,0.0003203029,0.001267585,0.0001132773,0.0002351525],"category_scores_gemma":[0.0007433394,0.0003107728,0.0005626079,0.0002166117,0.000144894,0.001701001,0.0004655464,0.0002658121,0.0000638565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003698725,"about_ca_system_score_gemma":0.00006007625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008097972,"about_ca_topic_score_gemma":0.00009133275,"domain_scores_codex":[0.9949982,0.00008747952,0.002226046,0.0005198061,0.001781707,0.0003868167],"domain_scores_gemma":[0.9944358,0.0006420522,0.002389991,0.0006602351,0.001812556,0.00005939366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004037606,0.006005317,0.01002318,0.004423664,0.001077953,0.00001320656,0.0004082138,0.2078374,0.001513943,0.1424371,0.01416127,0.6080611],"study_design_scores_gemma":[0.01006371,0.000173378,0.1002483,0.0004754028,0.0004362623,0.000003314309,0.001383101,0.57591,0.002625704,0.2472208,0.06027625,0.001183807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3186735,0.000007050055,0.6701961,0.006860535,0.0005401439,0.001615064,0.00003064971,0.00004688744,0.002030089],"genre_scores_gemma":[0.9791963,0.00001289987,0.01712807,0.002704801,0.0004086274,0.000182973,0.00006748442,0.00003230418,0.0002665067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6605228,"threshold_uncertainty_score":0.9999344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07247173969870105,"score_gpt":0.357730351493589,"score_spread":0.285258611794888,"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."}}