{"id":"W2033453524","doi":"10.1109/tcst.2014.2334472","title":"Model Predictive Quality Control of Polymethyl Methacrylate","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Model predictive control; Control theory (sociology); Trajectory; Process (computing); Controller (irrigation); Polymethyl methacrylate; Computer science; Quality (philosophy); Process control; Control (management); Artificial intelligence; Materials science","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":[0.0005807022,0.0006308134,0.0006521639,0.0002459677,0.000366009,0.0009030539,0.000722999,0.0005628191,0.000820559],"category_scores_gemma":[0.0009372745,0.0003333363,0.000465339,0.0002847592,0.0004799048,0.0004588829,0.0006102081,0.0009936772,0.0001522344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007118379,"about_ca_system_score_gemma":0.0009636314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01129316,"about_ca_topic_score_gemma":0.006198124,"domain_scores_codex":[0.9997438,0.00004187231,0.000008880169,0.00005616349,0.0001130061,0.00003633516],"domain_scores_gemma":[0.9996376,0.0001518911,0.00008123833,0.00001991203,0.0000973472,0.00001194416],"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":[0.00003537403,0.0000160298,0.0001778961,0.00004572596,0.000009010838,0.00002997761,0.00002130809,0.9840893,0.00368289,0.001337754,0.000162556,0.0103922],"study_design_scores_gemma":[0.000003923734,0.00002698712,0.00007254392,0.000002245655,0.000002433302,0.000003083324,0.000002163235,0.9986129,0.0007998229,0.0003223011,0.0001498998,0.000001670062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07603125,0.00100972,0.9140043,0.0003391755,0.00009689289,0.00006068181,0.00006423473,0.0006432058,0.007750549],"genre_scores_gemma":[0.9844392,0.0002861046,0.01284384,0.0000302067,0.00001454545,0.00005222266,0.00004620983,0.00001758399,0.002270047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01129316,"threshold_uncertainty_score":0.02245486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023124826878393,"score_gpt":0.233893347251629,"score_spread":0.2236620989828451,"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."}}