{"id":"W4297769473","doi":"10.5267/j.dsl.2022.5.003","title":"The collective effect of rework, expedited-rate, external source, and machine failures on manufacturing runtime planning","year":2022,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rework; Failure rate; Production (economics); Outsourcing; Computer science; Quality (philosophy); Scheme (mathematics); Work (physics); Reliability engineering; Measure (data warehouse); Batch production; Operations research; Operations management; Business; Engineering; Embedded system; Economics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002270948,0.0001249306,0.0001295737,0.0004374326,0.001629013,0.0003975475,0.0004603352,0.00001353638,0.00004251275],"category_scores_gemma":[0.0003293274,0.00008335927,0.00002993235,0.0008479847,0.0001775257,0.0005811019,0.0004581862,0.00016508,0.0000112557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006359977,"about_ca_system_score_gemma":0.00001589887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002155598,"about_ca_topic_score_gemma":0.00000121031,"domain_scores_codex":[0.9984477,0.00003238834,0.000204141,0.0003392389,0.0007401832,0.0002363277],"domain_scores_gemma":[0.9991572,0.0004063345,0.0002023653,0.0001885599,0.00003361198,0.00001185045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004834285,0.0001218224,0.2789939,0.00009860483,0.00007776395,0.0001084104,0.003249562,0.08947676,0.1409363,0.00127557,0.1013899,0.3794371],"study_design_scores_gemma":[0.006129416,0.0004233909,0.6731335,0.0005278754,0.0001094426,0.00004350114,0.001963432,0.04753522,0.08201373,0.004378853,0.1820426,0.001698999],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948729,0.00005695565,0.002277689,0.001391677,0.0005548976,0.0002213166,5.800602e-7,0.00003272314,0.0005912816],"genre_scores_gemma":[0.997707,0.000001701229,0.0001243429,0.001790856,0.000182375,0.00002411795,0.000002131408,0.000009946023,0.0001575094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3941396,"threshold_uncertainty_score":0.9996707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009460330678628252,"score_gpt":0.2281078015464775,"score_spread":0.2186474708678493,"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."}}