{"id":"W2068918145","doi":"10.1108/09576060110392588","title":"A model for integrated production planning in cellular manufacturing systems","year":2001,"lang":"en","type":"article","venue":"Integrated Manufacturing Systems","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Production (economics); Production planning; Manufacturing engineering; Cellular manufacturing; Systems engineering; Computer science; Engineering","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":[0.0006999989,0.00135682,0.001133226,0.0007307536,0.0008727845,0.002865516,0.002479336,0.002493036,0.009013538],"category_scores_gemma":[0.00142095,0.0007232202,0.001168882,0.001915853,0.000975566,0.001525661,0.001115963,0.001773039,0.001568536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002083727,"about_ca_system_score_gemma":0.002259446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01417043,"about_ca_topic_score_gemma":0.01002301,"domain_scores_codex":[0.9992676,0.0001884957,0.00004075844,0.0001712178,0.0002092553,0.0001226689],"domain_scores_gemma":[0.9995277,0.0002125732,0.00007262299,0.00003429296,0.0001111921,0.0000417703],"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":[0.00001844752,0.00001906498,0.00009969156,0.00004568742,0.00001352207,0.0001106603,0.00003528376,0.9438367,0.0004893523,0.05045804,0.0009045096,0.003969043],"study_design_scores_gemma":[0.00001614951,0.00002631275,0.00005632241,0.000008454129,0.00001067285,0.00002850742,0.00001181652,0.9834569,0.0001549098,0.01278943,0.003433182,0.000007370384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01117124,0.000691963,0.9635736,0.0005581766,0.0001209484,0.000147758,0.0008393012,0.0004293871,0.02246748],"genre_scores_gemma":[0.714614,0.002350963,0.2311757,0.0003007021,0.0001629521,0.001734856,0.001742796,0.000201791,0.04771632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01417043,"threshold_uncertainty_score":0.03015327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02719091617822256,"score_gpt":0.2373201735330557,"score_spread":0.2101292573548332,"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."}}