{"id":"W1985190707","doi":"10.1016/j.compchemeng.2009.02.003","title":"Developing real-time wave-net models for non-linear time-varying experimental processes","year":2009,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Artificial neural network; MATLAB; Process (computing); Toolbox; Wavelet; Line (geometry); Artificial intelligence; Time domain; Algorithm; Machine learning; Computer vision; Mathematics","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":[0.00005618596,0.0002170986,0.0002263887,0.0000514409,0.00008535106,0.0001066842,0.0005659547,0.00006749188,0.00000146402],"category_scores_gemma":[0.000009073972,0.0002253652,0.00006937622,0.0003364396,0.00001248071,0.0003719537,0.000163972,0.0001058838,0.00001087766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007548952,"about_ca_system_score_gemma":0.00004342937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.245829e-7,"about_ca_topic_score_gemma":4.825985e-9,"domain_scores_codex":[0.9987746,0.000003048459,0.0002484034,0.0004380074,0.0001406215,0.0003953156],"domain_scores_gemma":[0.9993554,0.0001280067,0.00004952388,0.0002793871,0.00005990393,0.0001278062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006854357,0.00006968878,2.346879e-7,0.00006306519,0.000018556,0.000006138252,0.0002450555,0.28384,0.701112,0.006111661,0.001399318,0.007127454],"study_design_scores_gemma":[0.0001957847,0.00002395683,0.000001264202,0.00008022328,0.000002593642,0.00001234618,5.99848e-7,0.7982235,0.200523,0.000459243,0.0002440263,0.0002334626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02359317,0.00006551709,0.9749584,0.0004397906,0.00008607565,0.0002694487,0.000001585914,0.0004583212,0.0001277323],"genre_scores_gemma":[0.3822407,0.000008011356,0.6171707,0.0002208673,0.000253771,0.0000448102,0.00001835575,0.00001895678,0.00002384267],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5143835,"threshold_uncertainty_score":0.9190127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092776598400916,"score_gpt":0.2452468104391499,"score_spread":0.2243190444551407,"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."}}