{"id":"W4255570836","doi":"10.1007/978-3-319-41108-8_1","title":"Introduction","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in industrial control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Control (management); Process (computing); Model predictive control; Computer science; Process control; Key (lock); Process optimization; Engineering; Control engineering; Artificial intelligence; Computer security","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001930244,0.000460496,0.0007175534,0.0002983907,0.00003553499,0.00002479746,0.0002172703,0.0007265682,0.0004663533],"category_scores_gemma":[0.0001351657,0.0004302042,0.0001122639,0.00005564076,0.00006589468,0.0006513336,0.00001606671,0.0006716598,0.0002398744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005235917,"about_ca_system_score_gemma":0.00003668794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.383989e-7,"about_ca_topic_score_gemma":0.00002307138,"domain_scores_codex":[0.9981788,0.00002724285,0.0007325647,0.0004307887,0.00026412,0.0003665245],"domain_scores_gemma":[0.9990176,0.0001796017,0.000215483,0.0004338229,0.00007576968,0.00007774394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003024081,0.000008140709,0.00002735061,0.00006031371,0.0001609765,0.00002931556,0.00001764033,0.312559,0.0002500428,0.1711928,0.004796504,0.5105955],"study_design_scores_gemma":[0.003893043,0.00004968107,5.840708e-7,0.000264432,0.00004225313,0.000006300054,0.000002072166,0.002057163,0.0000244669,0.01185113,0.9813034,0.000505514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000223362,0.0137432,0.08859929,0.000488182,0.009777532,0.00156061,0.0001574826,0.0006754709,0.884996],"genre_scores_gemma":[0.1247364,0.012443,0.0008474303,0.0001889019,0.07475366,0.0007313782,0.0001901369,0.001071609,0.7850375],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9765069,"threshold_uncertainty_score":0.999815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002291165079946,"score_gpt":0.207243844989507,"score_spread":0.1972209333387075,"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."}}