{"id":"W4250482201","doi":"10.1061/(asce)0733-9372(2000)126:3(294)","title":"Fuzzy-Supported Estimator for HPO-AS Process","year":2000,"lang":"en","type":"article","venue":"Journal of Environmental Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hyperion Technologies (Canada)","funders":"","keywords":"Estimator; Process (computing); Fuzzy logic; Environmental science; Computer science; Mathematics; Statistics; 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":[0.0005940418,0.0003705492,0.0007217698,0.0003933612,0.0003421158,0.0008545052,0.0005824141,0.0008364716,0.0008056836],"category_scores_gemma":[0.00209064,0.0001660603,0.0003138587,0.0002828575,0.0001823873,0.0006431439,0.0003777,0.0007851887,0.0002683935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002753975,"about_ca_system_score_gemma":0.0004906221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003045687,"about_ca_topic_score_gemma":0.003037831,"domain_scores_codex":[0.9997495,0.00004383898,0.00001645569,0.00007262996,0.00008883393,0.00002883279],"domain_scores_gemma":[0.9994241,0.0002033415,0.000061229,0.0000439186,0.0002438581,0.00002356719],"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":[0.001249952,0.0003469186,0.007297905,0.0004611568,0.0002075202,0.0002334178,0.0001845934,0.4693253,0.08955001,0.01109249,0.002049894,0.4180009],"study_design_scores_gemma":[0.000011033,0.00003340093,0.0007380571,0.000004048172,0.000008889183,0.00001734421,0.000005159483,0.9949345,0.003510448,0.000543515,0.0001875502,0.000006208503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07926986,0.0002589212,0.9189178,0.0001048301,0.00008668484,0.0000304098,0.0000883,0.0003434699,0.0008996539],"genre_scores_gemma":[0.9344144,0.0001355274,0.06401955,0.00003107055,0.00005390395,0.00004318815,0.0001142035,0.00001548052,0.001172681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003045687,"threshold_uncertainty_score":0.006055892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002890666786024491,"score_gpt":0.1880327447220829,"score_spread":0.1851420779360584,"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."}}