{"id":"W583457983","doi":"10.1016/j.ejor.2004.08.002","title":"Lot streaming for quality control in two-stage batch production","year":2004,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Waterloo","funders":"","keywords":"Quality (philosophy); Control (management); Business; Computer science; Marketing; Operations management; Engineering; Artificial intelligence; Physics","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":[0.001621357,0.0005538712,0.001221275,0.0004647609,0.0004369669,0.0006517174,0.001026783,0.00057206,0.001333352],"category_scores_gemma":[0.002570886,0.0004262635,0.000514514,0.0005330139,0.0005331905,0.0008624714,0.0006008418,0.0005515227,0.0001497593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005861614,"about_ca_system_score_gemma":0.0007181512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001714892,"about_ca_topic_score_gemma":0.001470339,"domain_scores_codex":[0.9994788,0.0001669778,0.00004185602,0.000107645,0.0001542708,0.00005053675],"domain_scores_gemma":[0.9976277,0.001614281,0.0001737681,0.0001623532,0.0003152706,0.0001066715],"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":[0.006725532,0.0006905128,0.0033177,0.00060032,0.00013759,0.0003029068,0.0002390036,0.5174093,0.1094535,0.005894501,0.001990886,0.3532382],"study_design_scores_gemma":[0.00005606391,0.0003619351,0.0007490399,0.000006694136,0.00002032864,0.00002697109,0.00001022893,0.9877998,0.009571635,0.00115542,0.0002271342,0.00001474547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2242538,0.0008308619,0.7719176,0.000176755,0.0001598084,0.0002356973,0.0001271097,0.0013555,0.0009428746],"genre_scores_gemma":[0.9469185,0.0001587223,0.0516731,0.00005050732,0.00006080446,0.0001001858,0.00009526373,0.00004684681,0.0008960345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001714892,"threshold_uncertainty_score":0.008574605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4404311080290821,"score_gpt":0.594754287773503,"score_spread":0.1543231797444209,"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."}}