{"id":"W4280566838","doi":"10.1016/j.eswa.2022.117585","title":"Associative reasoning-based interpretable continuous decision making in industrial production process","year":2022,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Associative property; Production (economics); Process (computing); Artificial intelligence; Machine learning; Mathematics","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":[0.0004158835,0.0001508938,0.000220964,0.0001500707,0.0005785146,0.0001572503,0.0007174581,0.00004938846,0.000008537627],"category_scores_gemma":[0.00003441408,0.0001371172,0.00003330719,0.001611637,0.00002932679,0.0002621008,0.0001336273,0.0003174281,0.000007876216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002999247,"about_ca_system_score_gemma":0.0001700239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009025006,"about_ca_topic_score_gemma":0.00002863122,"domain_scores_codex":[0.9982088,0.0001289363,0.0003543388,0.0006099666,0.0004212737,0.0002767281],"domain_scores_gemma":[0.9987542,0.0001623872,0.0003083867,0.0005966391,0.0001228252,0.00005554778],"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":[0.0003860861,0.002485845,0.03437876,0.00006767303,0.0001242576,0.0000270117,0.01222738,0.680003,0.001218502,0.109425,0.03629636,0.1233601],"study_design_scores_gemma":[0.002419869,0.000448407,0.001515726,0.0007031896,0.00002089783,0.0001272851,0.004350211,0.8440092,0.0005878646,0.002373326,0.1422079,0.001236185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01656133,0.0003649677,0.9773208,0.001250747,0.0003595422,0.00296819,0.00001312266,0.0003003401,0.0008609722],"genre_scores_gemma":[0.9799389,0.000001936481,0.005561599,0.0001470526,0.0002048136,0.01398161,0.00001383742,0.0000178047,0.0001324213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9717592,"threshold_uncertainty_score":0.5591479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548040804770583,"score_gpt":0.2773489672760624,"score_spread":0.2618685592283566,"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."}}