{"id":"W2955998790","doi":"","title":"DEVELOPMENT OF DATA-DRIVEN MODELS FOR INFLUENT PREDICTION AT WASTEWATER TREATMENT PLANTS","year":2019,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Water Consortium","keywords":"Sewage treatment; Wastewater; Environmental science; Environmental engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008852071,0.0002783195,0.0003105765,0.00006287413,0.0001866555,0.00001500152,0.0004496776,0.0002100741,0.006295949],"category_scores_gemma":[0.000002402593,0.0002707669,0.00008124015,0.00008850596,0.00003266186,0.0003795075,0.0003079959,0.0000808216,0.0001041195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009595904,"about_ca_system_score_gemma":0.00005046079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001303898,"about_ca_topic_score_gemma":0.0006118528,"domain_scores_codex":[0.9985046,0.00003400593,0.0003093736,0.0005817189,0.0002918972,0.0002783888],"domain_scores_gemma":[0.9991548,0.00003527131,0.0002935766,0.0004185023,0.00001391881,0.00008393115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001636563,0.0003524544,0.006503867,0.0005747512,0.0005375049,0.00001328173,0.02017805,0.04558085,0.009570502,0.00003731376,0.0008795454,0.9141353],"study_design_scores_gemma":[0.003511043,0.0005038832,0.003174949,0.0006768351,0.0004533191,0.00000387101,0.01166019,0.06168978,0.02979838,0.00003561061,0.8874388,0.00105332],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8651907,0.00002776079,0.00169647,0.000007727319,0.0006633991,0.001063077,0.0007930536,0.00007383864,0.130484],"genre_scores_gemma":[0.07365155,0.00003042027,0.01930313,0.000006124809,0.00007670285,0.000008834187,0.005354359,0.00006275852,0.9015061],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.913082,"threshold_uncertainty_score":0.9999744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0562506806458611,"score_gpt":0.246102016423199,"score_spread":0.1898513357773379,"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."}}