{"id":"W2001457103","doi":"10.1016/j.procir.2014.01.133","title":"Max-plus Modeling of Manufacturing Flow Lines","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Manufacturing engineering; Flow (mathematics); Engineering; Computer science; Industrial engineering; Engineering drawing; Mechanics; 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":[0.000552869,0.001001643,0.0005967794,0.0005484714,0.0005454542,0.001288239,0.00123276,0.0006778364,0.007532272],"category_scores_gemma":[0.001135203,0.0005207048,0.001071302,0.000720287,0.0007314814,0.001315786,0.0007299369,0.0009716756,0.001225429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015372,"about_ca_system_score_gemma":0.000901209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005518855,"about_ca_topic_score_gemma":0.003959052,"domain_scores_codex":[0.9996136,0.00009215072,0.00002649846,0.00007600713,0.0001471069,0.0000447708],"domain_scores_gemma":[0.9996288,0.000178253,0.00006494913,0.00003207179,0.00007644024,0.00001950398],"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":[0.00002920674,0.00001853297,0.000165333,0.00005978511,0.00001184452,0.00008139657,0.00007207879,0.8718376,0.002526381,0.1163931,0.0005658924,0.008238862],"study_design_scores_gemma":[0.000005028292,0.00001106181,0.00002662248,0.000004555643,0.000004262031,0.00001256181,0.000006002029,0.9783881,0.0009576419,0.01768306,0.002896205,0.000004905025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006577985,0.00009583223,0.9791324,0.00007085728,0.00003627121,0.00004405364,0.0002384428,0.0004825413,0.01332159],"genre_scores_gemma":[0.5787271,0.0006317149,0.3821744,0.0001427688,0.00006971904,0.000558264,0.0008491622,0.0003586172,0.0364883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007532272,"threshold_uncertainty_score":0.02519792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539534410123603,"score_gpt":0.2381404083782493,"score_spread":0.2127450642770133,"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."}}