{"id":"W1756823618","doi":"10.1109/vims.2001.924897","title":"Intelligent monitoring system used to control asynchronous production systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Elevator Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Production (economics); Asynchronous communication; Computer science; Control (management); Production control; Supervisory control; Production manager; Production system (computer science); Systems engineering; Risk analysis (engineering); Real-time computing; Engineering; Telecommunications; Business; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004764166,0.0005841745,0.0004958221,0.0006722115,0.0004999459,0.0008776431,0.0007755606,0.0004943346,0.004181567],"category_scores_gemma":[0.001281941,0.0001845798,0.0001515541,0.0003793366,0.0002421788,0.0005400952,0.0003334479,0.000572629,0.001246136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003742071,"about_ca_system_score_gemma":0.0003410851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001374615,"about_ca_topic_score_gemma":0.0009960296,"domain_scores_codex":[0.9994588,0.00008130936,0.0000419391,0.0001667337,0.0002134994,0.00003771452],"domain_scores_gemma":[0.999398,0.0001493442,0.00008150276,0.0001001281,0.0002264575,0.0000445508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001411236,0.0002961092,0.005588551,0.0004293282,0.00008268824,0.0007621118,0.000701767,0.05424728,0.1934864,0.009102554,0.01664569,0.7172463],"study_design_scores_gemma":[0.0003354959,0.001141892,0.008809706,0.00009594594,0.0002095088,0.0007607692,0.0001031202,0.7918717,0.116328,0.004020577,0.07622051,0.0001028657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08342309,0.0005861372,0.8718466,0.000232433,0.000450136,0.0003996891,0.0003167306,0.01824295,0.02450233],"genre_scores_gemma":[0.9037525,0.0002882332,0.08276089,0.0001397675,0.0001805669,0.0003309255,0.0002850426,0.0001452585,0.01211679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004181567,"threshold_uncertainty_score":0.01398873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732037577620275,"score_gpt":0.1974844771994894,"score_spread":0.1801641014232866,"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."}}