{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002840003,0.0001538266,0.0001784474,0.00007381695,0.0001815863,0.0002359075,0.000843514,0.0000398005,0.00001494245],"category_scores_gemma":[0.0001976464,0.000135804,0.0000582187,0.0003244167,0.000008116065,0.0003944995,0.0001365374,0.0002550386,0.00002910312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002100128,"about_ca_system_score_gemma":0.00002242035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005059088,"about_ca_topic_score_gemma":0.000008567746,"domain_scores_codex":[0.9987656,0.00009730716,0.0002079293,0.0004509034,0.0002411029,0.0002370891],"domain_scores_gemma":[0.9993308,0.0001250366,0.00008796492,0.0002718881,0.00005821082,0.0001261035],"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":[0.000568581,0.002022778,0.1445431,0.0002337502,0.000286143,0.0001582096,0.01649913,0.4312664,0.003312539,0.002121422,0.02059515,0.3783928],"study_design_scores_gemma":[0.001603206,0.001864163,0.01520236,0.0000209442,0.00001817375,0.000005394364,0.00003641056,0.9647027,0.0009245615,0.0001199058,0.01527337,0.0002288045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2003445,0.00003902132,0.7937407,0.003351855,0.0006151623,0.0004796656,0.000005755713,0.0006576824,0.0007656959],"genre_scores_gemma":[0.996819,0.000003333412,0.001432215,0.0007801467,0.0005924889,0.00005990375,0.000008452916,0.00001877322,0.0002857105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7964745,"threshold_uncertainty_score":0.5537927,"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."}}