{"id":"W7054822513","doi":"","title":"Are Artificial Neural Networks the Right Tool for Modelling and Control of Batch and Batch-Like Processes?","year":2023,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Advanced Frequency and Time Standards","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Nonlinear autoregressive exogenous model; Artificial neural network; Model predictive control; Autoregressive model; Process (computing); Cluster analysis; Process control; Control (management)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000066517,0.000247813,0.0003461451,0.00004832236,0.0002797674,0.00005163134,0.0001517341,0.0001211649,0.001428085],"category_scores_gemma":[0.000004618619,0.0002123266,0.00009206085,0.0002259044,0.00008428669,0.0001693194,0.00002591733,0.0002344083,8.356138e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001590517,"about_ca_system_score_gemma":0.00005342415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004367037,"about_ca_topic_score_gemma":0.000195021,"domain_scores_codex":[0.9990795,0.00003295404,0.0001956468,0.0003345546,0.0001163832,0.0002409579],"domain_scores_gemma":[0.999122,0.0001727892,0.0003441343,0.000130212,0.0001836821,0.00004723945],"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":[0.004151749,0.0001877838,0.008674838,0.002273071,0.001487744,0.00005391352,0.003738237,0.1867642,0.00009085636,0.0408422,0.0008607538,0.7508746],"study_design_scores_gemma":[0.008976048,0.0005516174,0.001218584,0.001602063,0.003303025,0.000003585186,0.04855715,0.6587042,0.001016686,0.05300226,0.22002,0.003044886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09524596,0.00100971,0.8203729,0.0002045293,0.001547301,0.002963965,0.001897965,0.0001286718,0.07662895],"genre_scores_gemma":[0.8779228,0.00002744843,0.0002221077,0.00002201302,0.0005924565,0.00001195752,0.0002707516,0.00005811311,0.1208724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8201509,"threshold_uncertainty_score":0.9994847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147669924219662,"score_gpt":0.2165144889994497,"score_spread":0.2050377897572531,"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."}}