{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006425747,0.0009298769,0.0007079873,0.0004538017,0.0003807309,0.0008398887,0.001300591,0.001177747,0.0006759482],"category_scores_gemma":[0.001872354,0.0006599519,0.001100062,0.0005529597,0.0002682019,0.000952905,0.0006298501,0.001832197,0.0002302548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091081,"about_ca_system_score_gemma":0.001630438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04090418,"about_ca_topic_score_gemma":0.02929102,"domain_scores_codex":[0.9997348,0.00004568392,0.00002439319,0.00008264129,0.00007699453,0.00003546644],"domain_scores_gemma":[0.9993311,0.000304067,0.00006727899,0.00002994487,0.0002437954,0.00002390438],"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":[0.00001745416,0.00002452132,0.001047294,0.00003193224,0.00002060189,0.00002623127,0.00001712515,0.9859567,0.0011032,0.0006057373,0.0002598048,0.01088946],"study_design_scores_gemma":[0.000001058668,0.000003905519,0.000106012,0.000001831357,0.000002120211,0.000001630457,0.000001863835,0.9992647,0.0002725096,0.0002544793,0.00008698177,0.000002895598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1189459,0.0006168699,0.8741871,0.0004951444,0.0001390327,0.0001023575,0.001088059,0.001494041,0.002931454],"genre_scores_gemma":[0.9082496,0.0004540364,0.08723749,0.000131099,0.00004118475,0.0002787459,0.001461227,0.00007839387,0.002068254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04090418,"threshold_uncertainty_score":0.08133221,"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."}}