{"id":"W3032931759","doi":"10.1109/access.2020.3000152","title":"A Study on Extreme Learning Machine for Gasoline Engine Torque Prediction","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Torque; Robustness (evolution); Artificial neural network; Extreme learning machine; Test data; Machine learning; Artificial intelligence","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":[0.00183118,0.0004784664,0.0006412935,0.0004661986,0.0002870513,0.0006922026,0.000896384,0.0006469844,0.0004177672],"category_scores_gemma":[0.005635236,0.0002185982,0.0005471642,0.0007578701,0.0006630041,0.001351994,0.0004639089,0.00119717,0.00009586545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004137058,"about_ca_system_score_gemma":0.0002832275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001900689,"about_ca_topic_score_gemma":0.0007734899,"domain_scores_codex":[0.9992198,0.0003115893,0.00004223363,0.0001508221,0.0002251035,0.00005038287],"domain_scores_gemma":[0.9980166,0.001372841,0.0001266732,0.0001259964,0.000327503,0.00003029605],"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":[0.00007754085,0.00006992363,0.003946835,0.00008734156,0.0000700959,0.0001618857,0.0001099248,0.9045014,0.003381143,0.01404475,0.000366765,0.0731824],"study_design_scores_gemma":[0.000001273365,0.00002191666,0.0002733973,0.000004361158,0.000002772673,0.00001493615,0.000005442062,0.9973225,0.0004588765,0.001721714,0.000169527,0.000003251097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0740073,0.0009863517,0.9222662,0.0003244733,0.00005364519,0.00002057573,0.00001610365,0.0001581563,0.002167311],"genre_scores_gemma":[0.9381863,0.0007497501,0.05970942,0.0001035672,0.0000902323,0.00003573411,0.00005742942,0.00002589712,0.001041542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001900689,"threshold_uncertainty_score":0.009684265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09280821880453613,"score_gpt":0.3257390732149777,"score_spread":0.2329308544104416,"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."}}