{"id":"W2884816344","doi":"10.1080/14634988.2018.1497398","title":"Assessment of the degradation of aesthetics Beneficial Use Impairment in the Toronto and region Area of Concern","year":2018,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Toronto and Region Conservation Authority","funders":"","keywords":"Turbidity; Environmental degradation; Water quality; Sanitary sewer; Environmental science; Litter; Environmental engineering; Engineering; Waste management; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004242577,0.0001983997,0.0001166593,0.001152272,0.001029277,0.0007417625,0.0002852741,0.0001641488,0.000942347],"category_scores_gemma":[0.001133301,0.0001349024,0.0001921513,0.001347321,0.0007462967,0.0001939931,0.000737183,0.0001605418,0.00006493441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006142,"about_ca_system_score_gemma":0.002653154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6311895,"about_ca_topic_score_gemma":0.8867315,"domain_scores_codex":[0.9995566,0.0000769265,0.00002518372,0.00004990121,0.0002042117,0.00008717945],"domain_scores_gemma":[0.9990718,0.00008691649,0.0003281232,0.00003437822,0.0003515095,0.0001272853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002154846,0.00003244064,0.9506735,0.0001305129,0.00005753634,0.0008234955,0.0169877,0.001200894,0.01548847,0.0002987368,0.0006381986,0.01345304],"study_design_scores_gemma":[8.939554e-7,0.00005050877,0.9940521,0.000007889621,0.000009263581,0.0000758246,0.004173825,0.0002845092,0.0006224882,0.00001284096,0.0007048732,0.000004991678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973152,0.0000822248,0.0002698138,0.00002830875,0.000001683228,0.00004449202,0.0002897362,0.000004737571,0.001963782],"genre_scores_gemma":[0.9983836,0.00008370909,0.0005938098,0.000007939151,0.000001251364,0.00001882208,0.0001568842,0.00000144814,0.0007525744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3688105,"threshold_uncertainty_score":0.7419651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02926551499059233,"score_gpt":0.2773229518840271,"score_spread":0.2480574368934347,"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."}}