{"id":"W2965281988","doi":"10.1108/ijqrm-09-2018-0255","title":"Managing quality decisions in supply chain","year":2019,"lang":"en","type":"article","venue":"International Journal of Quality & Reliability Management","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Supply chain; Quality (philosophy); Quality costs; Computer science; Operations management; Work (physics); Business; Operations research; Value (mathematics); Supply chain management; Risk analysis (engineering); Cost control; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002343655,0.0008633746,0.0008138383,0.00138719,0.001140352,0.004045708,0.001258535,0.001574573,0.005356964],"category_scores_gemma":[0.005037772,0.0008478501,0.0006867668,0.002488809,0.0009977235,0.00394438,0.00156656,0.001354908,0.0003082925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005352494,"about_ca_system_score_gemma":0.003697387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01771422,"about_ca_topic_score_gemma":0.01296763,"domain_scores_codex":[0.9979279,0.0008831649,0.00007618204,0.0003194496,0.0003891375,0.0004042267],"domain_scores_gemma":[0.9983414,0.0007369746,0.0003697957,0.00006992181,0.0003089399,0.0001729162],"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":[0.00004152328,0.00004436093,0.002019231,0.00006796863,0.00004204665,0.00007411741,0.00006218396,0.969444,0.0004063316,0.01214011,0.0005267081,0.01513138],"study_design_scores_gemma":[0.00001965515,0.0001464104,0.001186055,0.00006101702,0.00004075669,0.00003362865,0.0002571681,0.9710787,0.0004579635,0.02403758,0.002655285,0.00002565824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2616239,0.002406185,0.6992561,0.003026758,0.0001345437,0.0007184587,0.0006132646,0.0002694619,0.03195126],"genre_scores_gemma":[0.9684686,0.001016524,0.02573691,0.00008856689,0.00002631665,0.0001162379,0.0001386204,0.00003085343,0.004377354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01771422,"threshold_uncertainty_score":0.03883529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03231974675837854,"score_gpt":0.3244103979124415,"score_spread":0.2920906511540629,"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."}}