{"id":"W2143959861","doi":"10.1109/wsc.2002.1166373","title":"Optimization of buffer sizes in assembly systems using intelligent techniques","year":2003,"lang":"en","type":"article","venue":"","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Buffer (optical fiber); Distributed computing","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":[0.0006936474,0.0007817168,0.0006073287,0.0008064831,0.0004221439,0.0009223493,0.0005578463,0.0005462453,0.0006740585],"category_scores_gemma":[0.001639328,0.0005279789,0.0003815219,0.0004616844,0.0005316774,0.0009210553,0.0004176694,0.000359324,0.0001402487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077658,"about_ca_system_score_gemma":0.0008934504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00288374,"about_ca_topic_score_gemma":0.003111905,"domain_scores_codex":[0.9997371,0.00008520131,0.00001724118,0.00005345126,0.00006511594,0.00004190587],"domain_scores_gemma":[0.9995402,0.0002416901,0.0001205928,0.00002518,0.0000481615,0.00002422728],"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":[0.0000258022,0.00001791647,0.0002009471,0.00001569865,0.000005768154,0.00001386821,0.0000174447,0.9880947,0.002897416,0.001341355,0.00005200366,0.007316933],"study_design_scores_gemma":[0.000009507078,0.00003054122,0.0001129895,0.000003443006,0.000006760604,0.000005157195,0.000006809082,0.9966181,0.001682662,0.001286872,0.000233968,0.000003262749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.152178,0.0005707723,0.8429964,0.0001718446,0.00002643766,0.00005892925,0.00004379174,0.0004703745,0.00348346],"genre_scores_gemma":[0.9105337,0.0002616824,0.08763304,0.00003786088,0.000009261481,0.0000889531,0.00004940307,0.00004212869,0.001343982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00288374,"threshold_uncertainty_score":0.007818937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984360031645514,"score_gpt":0.2487731216925041,"score_spread":0.228929521376049,"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."}}