{"id":"W4323316295","doi":"10.1007/s11705-022-2269-5","title":"Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units","year":2023,"lang":"en","type":"article","venue":"Frontiers of Chemical Science and Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Artificial neural network; Computer science; Residual; Convergence (economics); Particle swarm optimization; Nonlinear system; Artificial intelligence; Data mining; Algorithm","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":[0.0002243446,0.0000866151,0.0001657197,0.0001782887,0.00002877649,0.00001178035,0.0001226543,0.00006184529,5.116518e-7],"category_scores_gemma":[0.000160074,0.00008825644,0.00002288473,0.0005801819,0.00004491014,0.0001617789,0.0000277697,0.00005603997,4.501521e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004940279,"about_ca_system_score_gemma":0.00002360727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004331543,"about_ca_topic_score_gemma":1.483001e-7,"domain_scores_codex":[0.999297,0.000001848641,0.0001831641,0.0001297737,0.0001907246,0.0001975474],"domain_scores_gemma":[0.9996592,0.00002848778,0.00002946097,0.00009377173,0.0001132078,0.00007586967],"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":[0.000005793557,0.000002150374,0.00006125152,0.0001102868,0.000007522762,8.4169e-8,0.0001081171,0.678843,0.3194357,0.00001052312,0.001348774,0.0000667022],"study_design_scores_gemma":[0.0003117333,0.00001204932,0.00001334576,0.00002361472,0.000007464697,6.129826e-7,0.00007032255,0.898622,0.1002578,0.000003412596,0.0005939867,0.00008362515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6671325,0.0002691284,0.3311167,0.00005480175,0.0006762154,0.0001875065,0.00002036123,0.0004686965,0.00007410946],"genre_scores_gemma":[0.9895034,0.00003262418,0.01038073,0.000003918467,0.00002737754,0.00001047772,0.000006930034,0.00001480838,0.00001973109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3223709,"threshold_uncertainty_score":0.3598993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007526898881909269,"score_gpt":0.1801879547189619,"score_spread":0.1726610558370526,"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."}}