{"id":"W1982688261","doi":"10.1080/00207540210135596","title":"Simulation metamodelling with neural networks: An experimental investigation","year":2002,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Metamodeling; Artificial neural network; Robustness (evolution); Computer science; Artificial intelligence; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001801626,0.0005182106,0.0003919739,0.0003704113,0.0002424274,0.0005168144,0.0007943904,0.0006350577,0.001518034],"category_scores_gemma":[0.00674018,0.0002208267,0.0002795871,0.0004782198,0.0004723614,0.0009301273,0.0005982091,0.0007086438,0.0001737383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006121099,"about_ca_system_score_gemma":0.0004137963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001966721,"about_ca_topic_score_gemma":0.001346144,"domain_scores_codex":[0.9993166,0.0003315844,0.00004255008,0.0001006972,0.000165316,0.00004331559],"domain_scores_gemma":[0.9956828,0.00269307,0.0002863056,0.0008506849,0.0004006365,0.00008657986],"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":[0.001075146,0.001446233,0.004955941,0.0002452236,0.00008320755,0.0001346727,0.0003520831,0.894369,0.03932689,0.006244966,0.0004982047,0.05126843],"study_design_scores_gemma":[0.0000314301,0.0004846257,0.0006687646,0.000009664864,0.00001085022,0.00001652408,0.00003596488,0.9752747,0.02235385,0.0007350236,0.0003692993,0.000009300824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9195985,0.00009141569,0.07767187,0.0001233522,0.00002886732,0.0001309491,0.000163319,0.0004326125,0.001759149],"genre_scores_gemma":[0.9839025,0.00004935256,0.01546433,0.00001337164,0.000002733776,0.00008143576,0.0001210278,0.00002507,0.0003401451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001966721,"threshold_uncertainty_score":0.009528041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121197955302652,"score_gpt":0.3489613197800842,"score_spread":0.236841524249819,"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."}}