{"id":"W4414603712","doi":"10.1109/emceurope61644.2025.11176411","title":"Comparison between neural network and kriging meta-model techniques on a crosstalk problem based on Kron’s model","year":2025,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Artificial neural network; Crosstalk; Compatibility (geochemistry); Kriging; Electromagnetic compatibility","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":[0.0001257706,0.0002110753,0.0003129965,0.0001092218,0.0001139415,0.00008476606,0.00009667374,0.00008861928,0.00001373473],"category_scores_gemma":[0.0000037967,0.0001733208,0.00005634455,0.0001113308,0.00001636464,0.00009704279,0.00002710175,0.0001903801,8.115153e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003490207,"about_ca_system_score_gemma":0.00001505165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001280173,"about_ca_topic_score_gemma":0.00001087483,"domain_scores_codex":[0.9991751,0.00001056302,0.0002309202,0.0002276327,0.0001177627,0.0002379999],"domain_scores_gemma":[0.9996883,0.00004729367,0.00002535533,0.0001719902,0.00002137525,0.0000456768],"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":[0.00001077206,0.00001224741,0.0003290764,0.0001197971,0.00005301514,1.90241e-7,0.0000253787,0.9931028,0.000008782952,0.0007838449,0.00139331,0.00416076],"study_design_scores_gemma":[0.000142919,0.00003056253,0.00008304686,0.00005087593,0.000120095,5.264449e-8,0.000002481656,0.9929539,0.00500703,0.001179414,0.0002602405,0.0001694041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00941178,0.0001214688,0.9616332,0.0001981678,0.00002716103,0.0003169992,0.000006797519,0.0008841318,0.02740027],"genre_scores_gemma":[0.9234617,0.00001328084,0.07558324,0.0002749085,0.00002533222,0.00007015925,0.00001532225,0.00002572048,0.0005303282],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9140499,"threshold_uncertainty_score":0.7067817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03253826311060343,"score_gpt":0.2840259594653594,"score_spread":0.2514876963547559,"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."}}