{"id":"W2114081929","doi":"10.1016/j.envdev.2014.02.003","title":"A national pilot scheme for monitoring and assessment of ecological integrity of surface waters in China","year":2014,"lang":"en","type":"article","venue":"Environmental Development","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China; Office of Science; Canada Research Chairs; Nanjing University; State Administration of Foreign Experts Affairs; State Key Laboratory in Marine Pollution; Chinese Academy of Sciences; U.S. Environmental Protection Agency","keywords":"Environmental science; Water quality; Environmental monitoring; China; Environmental resource management; Sustainability; Pollutant; Biota; Environmental quality; Biological integrity; Trophic level; Ecological assessment; Environmental protection; Water resource management; Ecology; Geography; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0060025,0.0009832217,0.0005629092,0.001908435,0.002963587,0.0006392478,0.001568708,0.001204928,0.001559472],"category_scores_gemma":[0.001549806,0.0005972284,0.0006441597,0.001361609,0.0009876352,0.0009884688,0.002191048,0.0005606715,0.0002341919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003654019,"about_ca_system_score_gemma":0.02847168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1292161,"about_ca_topic_score_gemma":0.09633845,"domain_scores_codex":[0.9979796,0.0005864237,0.0001929712,0.0004087838,0.0004828201,0.0003495221],"domain_scores_gemma":[0.9941409,0.0002864864,0.0005421079,0.0007319196,0.002339332,0.001959308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001529386,0.003949249,0.796251,0.0005503544,0.0002489664,0.001153003,0.005497553,0.005328254,0.1020397,0.001200473,0.004819768,0.07743225],"study_design_scores_gemma":[0.0005858449,0.003340832,0.9618482,0.00003513396,0.00024402,0.0002564167,0.003758801,0.01040174,0.009801665,0.0003234969,0.009336177,0.00006764491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833688,0.0001007198,0.007650518,0.0004111684,0.00003243585,0.004459966,0.001117366,0.0001528423,0.002706204],"genre_scores_gemma":[0.9667302,0.0001200037,0.02053233,0.0002154571,0.00003119031,0.003281507,0.002814673,0.00001359647,0.006260941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1292161,"threshold_uncertainty_score":0.256928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02921097999172356,"score_gpt":0.2826586749996191,"score_spread":0.2534476950078955,"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."}}