{"id":"W1972946250","doi":"10.1007/s00170-014-6246-0","title":"Integrated manufacturing process planning and control based on intelligent agents and multi-dimension features","year":2014,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Process (computing); Flexibility (engineering); Computer-integrated manufacturing; Engineering; Dimension (graph theory); Computer science; Software; Ontology; Manufacturing engineering; Manufacturing execution system; Systems engineering; Industrial 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002320397,0.0002285653,0.0002446099,0.0004699506,0.00009513477,0.00007272673,0.0004158161,0.0001216271,0.00001017841],"category_scores_gemma":[0.0001025548,0.0001599545,0.00003910868,0.00004427295,0.00008359703,0.0001601164,0.00005488314,0.0005233136,0.000001107227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007411701,"about_ca_system_score_gemma":0.00001080668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002264462,"about_ca_topic_score_gemma":0.000002416107,"domain_scores_codex":[0.9989805,0.00002204043,0.0003452584,0.0001781215,0.000274722,0.0001993113],"domain_scores_gemma":[0.9993383,0.0001398321,0.0002136993,0.0001471096,0.0001013344,0.0000597238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001747726,0.00002362322,0.0002452323,0.00004458075,0.00008298174,0.00001813205,0.0001431624,0.9183875,0.001038703,0.00004734376,0.00002959648,0.07976434],"study_design_scores_gemma":[0.00202938,0.0002010806,0.005281425,0.0004711826,0.00003910806,0.0001840371,0.0002500582,0.2109866,0.7763907,0.002112402,0.001785516,0.0002685387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8794578,0.0002892576,0.1183127,0.001045751,0.0005076368,0.0001428303,0.000003472708,0.0001614296,0.0000790524],"genre_scores_gemma":[0.9936566,0.0001426971,0.005790268,0.0002857337,0.00006648064,0.000007589815,0.000003050256,0.00003099219,0.0000166196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.775352,"threshold_uncertainty_score":0.6522757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007965861301051771,"score_gpt":0.2454435443132623,"score_spread":0.2374776830122105,"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."}}