{"id":"W4285044072","doi":"10.22215/etd/2022-15037","title":"Impact of Wastewater Temperature & Influent Flow as the Indicators of Climate Change on Wastewater Treatment Systems","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Wastewater; Environmental science; Sewage treatment; Anoxic waters; Climate change; Environmental engineering; Waste management; Engineering; Environmental chemistry; Chemistry; Ecology","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":[0.000855886,0.000295388,0.0002741343,0.0003729184,0.0003215175,0.001143318,0.000128517,0.0002910033,0.002540905],"category_scores_gemma":[0.0008774081,0.0001052582,0.000562401,0.0008294529,0.0001716125,0.0003450424,0.0003425662,0.0004548706,0.0005133017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762182,"about_ca_system_score_gemma":0.001069399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033874,"about_ca_topic_score_gemma":0.01671372,"domain_scores_codex":[0.9992965,0.0002516086,0.00002450428,0.00009096614,0.0002425412,0.00009383581],"domain_scores_gemma":[0.9993949,0.000203246,0.00008490979,0.00002235167,0.0002413739,0.00005321039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007098473,0.002865261,0.434205,0.001583237,0.0007749976,0.0007555849,0.001385935,0.05832638,0.1501474,0.002755647,0.00984004,0.3302621],"study_design_scores_gemma":[0.00005213722,0.00156807,0.8492996,0.0001434272,0.0002780682,0.0001116405,0.001265688,0.01972678,0.1110393,0.0009120759,0.01552037,0.00008303171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96829,0.001600655,0.000968863,0.0004180091,0.0001195772,0.00007494396,0.00161332,0.00003250669,0.02688222],"genre_scores_gemma":[0.9914453,0.001168304,0.0007476811,0.00009489884,0.00002728188,0.00002301377,0.0006804076,0.00001249625,0.005800633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02033874,"threshold_uncertainty_score":0.04044074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278658759604062,"score_gpt":0.265269369400135,"score_spread":0.2524827818040944,"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."}}