{"id":"W2804168289","doi":"10.2166/wrd.2018.010","title":"Assessing water quality for urban tributaries of the Three Gorges Reservoir, China","year":2018,"lang":"en","type":"article","venue":"Journal of Water Reuse and Desalination","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tributary; Three gorges; Water quality; Environmental science; China; Water resources; Water resource management; Upstream (networking); Pollutant; Pollution; Urbanization; Wastewater; Sewage; Environmental engineering; Engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0004361225,0.0003981779,0.0002971774,0.001651628,0.0007877542,0.0006754735,0.0002957289,0.0003365241,0.0006321694],"category_scores_gemma":[0.0003714904,0.0001750412,0.0005083147,0.002546387,0.0004728501,0.00040644,0.0007233374,0.0001443003,0.00006598188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580892,"about_ca_system_score_gemma":0.001605556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09336536,"about_ca_topic_score_gemma":0.1597946,"domain_scores_codex":[0.9997157,0.00006056993,0.00002654769,0.00004960641,0.00009487113,0.00005259657],"domain_scores_gemma":[0.9996877,0.00003930425,0.00007226192,0.00002951313,0.0001047475,0.00006653451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001794701,0.0001499549,0.9382939,0.0001549052,0.0002069003,0.0008366111,0.001587215,0.00851634,0.01456136,0.000422228,0.0006909477,0.03440018],"study_design_scores_gemma":[0.000007506565,0.00006466859,0.9918155,0.000004751143,0.00003043721,0.00006762728,0.0009773223,0.004902669,0.001468548,0.00008071841,0.0005658088,0.00001439171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989865,0.00002948259,0.0002510699,0.00002116394,9.025184e-7,0.00001812286,0.0002252219,0.00001132807,0.0004561126],"genre_scores_gemma":[0.9991952,0.00002079658,0.0002772758,0.000005203342,6.900855e-7,0.00001671221,0.0002318054,0.000001826686,0.0002505272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09336536,"threshold_uncertainty_score":0.1856439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05264417272357255,"score_gpt":0.3351216565243344,"score_spread":0.2824774838007619,"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."}}