{"id":"W4415363631","doi":"10.1002/cjce.70117","title":"A novel <scp>VMD</scp> ‐ <scp>LassoNet</scp> ‐ <scp>iTransformer</scp> framework with enhanced feature fusion for dynamic <scp>NOx</scp> forecasting in flexible utility boilers","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Boiler (water heating); Artificial neural network; Feature selection; Thresholding; Transformer; NOx; Feature extraction","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":[0.0005173275,0.0009290096,0.0005286547,0.0002474402,0.0002124897,0.0006189269,0.001315989,0.0007045399,0.003248995],"category_scores_gemma":[0.0008242688,0.0003880422,0.0007937548,0.0003618468,0.0003988888,0.0008620696,0.0008236219,0.001336073,0.00102408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003272341,"about_ca_system_score_gemma":0.0007962643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007459601,"about_ca_topic_score_gemma":0.00895212,"domain_scores_codex":[0.999828,0.00003525949,0.00001072351,0.00005285329,0.00004843084,0.0000247274],"domain_scores_gemma":[0.9998108,0.00006068884,0.0000214781,0.00002360101,0.00006707777,0.0000164196],"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":[0.0001675418,0.00008601711,0.001137959,0.0001066263,0.0001146091,0.0001961473,0.0000657141,0.6889368,0.02605949,0.005823501,0.007577233,0.2697283],"study_design_scores_gemma":[0.000003262561,0.00001302574,0.00006706447,0.000002182361,0.000003366707,0.00001147515,0.000002718153,0.9976715,0.001221369,0.000561256,0.0004398515,0.000002874103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01077299,0.0002003343,0.9862784,0.0002090425,0.00005295701,0.00002732633,0.0001741071,0.001132878,0.001151936],"genre_scores_gemma":[0.5723734,0.0004477756,0.4145181,0.0005323231,0.0001205868,0.0002142172,0.001563778,0.0003890253,0.009840717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007459601,"threshold_uncertainty_score":0.01483238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00827347252726865,"score_gpt":0.2183202495009421,"score_spread":0.2100467769736735,"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."}}