{"id":"W2059867360","doi":"10.1080/0305215x.2011.620102","title":"Efficient management of air quality considering fuzzy confidences with varied reliabilities","year":2012,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Reliability (semiconductor); Fuzzy logic; Mathematical optimization; Computer science; Quality (philosophy); Data mining; Operations research; Mathematics; 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":[0.0002443549,0.0001739268,0.000179945,0.0001350312,0.00003677457,0.00002248063,0.00009013482,0.0000462955,0.00002987523],"category_scores_gemma":[0.00001009688,0.0001655367,0.00003181278,0.0002680139,0.00002876069,0.000151907,0.00003245598,0.00006626657,0.000003718766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005135797,"about_ca_system_score_gemma":0.000002718681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007158738,"about_ca_topic_score_gemma":2.960387e-7,"domain_scores_codex":[0.9990712,0.00001527374,0.0003026451,0.0001246107,0.0002180406,0.0002681771],"domain_scores_gemma":[0.9996026,0.00003808157,0.00005591963,0.0002017369,0.00004183513,0.00005986549],"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":[0.000009363877,0.00002217327,0.0006140215,0.0005009489,0.00007783065,6.637248e-7,0.0006083708,0.9945849,0.00004514624,0.0034321,0.00002214075,0.00008232427],"study_design_scores_gemma":[0.0003225464,0.00001906548,0.00203043,0.0001329768,0.00004692755,0.000001400911,0.0003190785,0.995375,0.001179789,0.000005395166,0.0003248715,0.0002425002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1551591,0.0002902444,0.838277,0.00001859784,0.0002772741,0.0003038459,0.000002939521,0.0005010586,0.005169943],"genre_scores_gemma":[0.8920502,0.00003789139,0.107706,0.000005689076,0.00003744343,0.00002844828,0.00002090229,0.00003633502,0.00007711245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7368911,"threshold_uncertainty_score":0.6750389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056609207705164,"score_gpt":0.1999065222930627,"score_spread":0.189340430216011,"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."}}