{"id":"W4415762020","doi":"10.1002/cjce.70039","title":"A novel ensemble coefficients <scp>LASSO</scp> transformer network algorithm for nonlinear dynamic soft sensor in time‐delay industrial processes","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China","keywords":"Soft sensor; Nonlinear system; Transformer; Feature selection; Fractionating column; Encoder; Process (computing); Variable (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001059331,0.0009833149,0.0009073396,0.0003529704,0.0003151817,0.0006562365,0.001094771,0.0008368511,0.002002921],"category_scores_gemma":[0.001964669,0.0004087441,0.0006107407,0.0004903937,0.0004050636,0.0008518326,0.0009002554,0.001353861,0.0004063464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004388941,"about_ca_system_score_gemma":0.0007868939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004204358,"about_ca_topic_score_gemma":0.003880436,"domain_scores_codex":[0.9995415,0.0001444427,0.0000228891,0.0001164311,0.0001201923,0.00005448964],"domain_scores_gemma":[0.9994563,0.0002749269,0.00006824479,0.00004130155,0.0001343446,0.00002479529],"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":[0.0001502189,0.00007108942,0.0009359928,0.00007887695,0.00006724273,0.00008475087,0.00005425571,0.7757223,0.006957937,0.005938651,0.003062244,0.2068764],"study_design_scores_gemma":[0.000002618413,0.000008854861,0.00003742031,0.000001261578,0.000002084923,0.000005107558,0.000001492843,0.9991473,0.0003430457,0.0003245199,0.0001248086,0.000001473471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01138912,0.0001099016,0.9871187,0.0001147278,0.00002005805,0.00002588521,0.00005030892,0.0003420758,0.0008290624],"genre_scores_gemma":[0.6241763,0.0002566843,0.3683381,0.0002668771,0.00007809669,0.0002861169,0.0005734712,0.0002462553,0.005778145],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004204358,"threshold_uncertainty_score":0.00835979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006555020987330029,"score_gpt":0.1963105170770572,"score_spread":0.1897554960897272,"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."}}