{"id":"W2019040271","doi":"10.1016/j.apm.2011.05.022","title":"An optimized NGBM(1,1) model for forecasting the qualified discharge rate of industrial wastewater in China","year":2011,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":102,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council","keywords":"Simulation software; Mathematical optimization; Software; Series (stratigraphy); Nonlinear system; Computer science; Operations research; China; Government (linguistics); Engineering; Industrial engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009138075,0.000893389,0.001670849,0.000697326,0.0006283479,0.001500017,0.001556241,0.002033908,0.001078364],"category_scores_gemma":[0.001100152,0.0005906237,0.001082877,0.000841032,0.0006194657,0.0009024999,0.0007028707,0.0006910448,0.0001453365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00242355,"about_ca_system_score_gemma":0.003016693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.146389,"about_ca_topic_score_gemma":0.06315854,"domain_scores_codex":[0.9996165,0.0001113712,0.0000228064,0.0001125378,0.00005461599,0.00008222204],"domain_scores_gemma":[0.9996673,0.0001517696,0.00004348313,0.00001500709,0.00009555205,0.00002688513],"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":[0.00002022503,0.00001108752,0.0004803812,0.00001307681,0.00001172193,0.00002653039,0.000008461543,0.9977524,0.0001912438,0.000212687,0.00008509228,0.001187136],"study_design_scores_gemma":[0.000003962964,0.000005058433,0.0001755186,7.902336e-7,0.000003955764,9.513419e-7,0.000003573302,0.9996266,0.00004682787,0.0001112265,0.00001898519,0.000002380709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8843117,0.0007045661,0.1064656,0.0005649089,0.0001111186,0.00007364288,0.0007052346,0.000384707,0.006678524],"genre_scores_gemma":[0.9950157,0.0001072686,0.002775345,0.00002572032,0.000009254803,0.0000381589,0.0002124871,0.0000133704,0.001802686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.146389,"threshold_uncertainty_score":0.2910739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4213900783878932,"score_gpt":0.3670462680548712,"score_spread":0.05434381033302205,"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."}}