{"id":"W4413001899","doi":"10.19139/soic-2310-5070-2367","title":"Optimizing cell load regulation capability in dynamic cell manufacturing systems","year":2025,"lang":"en","type":"article","venue":"Statistics Optimization & Information Computing","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Cellular manufacturing; Computer science; Engineering; Manufacturing 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":[0.0005342257,0.0006391092,0.0005382649,0.0004273236,0.0004306248,0.001155894,0.000676087,0.0006994088,0.001115514],"category_scores_gemma":[0.00125176,0.0003445251,0.0002913295,0.0007143609,0.0004090788,0.0007198337,0.0006430727,0.0004487596,0.0001536113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137604,"about_ca_system_score_gemma":0.001165013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007269554,"about_ca_topic_score_gemma":0.005868331,"domain_scores_codex":[0.9997402,0.00006798429,0.00000803753,0.00004684659,0.00005814711,0.00007877866],"domain_scores_gemma":[0.999619,0.0002052208,0.00006569705,0.00002320643,0.00005044032,0.0000365071],"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":[0.00001516076,0.00001340379,0.0001772198,0.00001087684,0.000003457154,0.00001938926,0.000007055689,0.9947239,0.001370464,0.0007974343,0.0001198576,0.002741807],"study_design_scores_gemma":[0.000002163306,0.00001680102,0.00008109373,0.000001127608,0.000002254495,0.000005414057,0.00000856672,0.9988066,0.0004346088,0.0004742093,0.0001653544,0.000001880009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4062654,0.0005303206,0.5787824,0.0004684291,0.00006481795,0.00009509575,0.0002755755,0.000437435,0.01308038],"genre_scores_gemma":[0.9843774,0.0001073143,0.01433645,0.00003636653,0.00000732189,0.00003746257,0.00006480921,0.00002978255,0.001003255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007269554,"threshold_uncertainty_score":0.01445448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003772466434183708,"score_gpt":0.2071512032245166,"score_spread":0.2033787367903329,"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."}}