{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008907741,0.0001451628,0.0002063099,0.0000292204,0.00006807009,0.000004732122,0.0001192575,0.00006503719,0.0002327465],"category_scores_gemma":[0.00002499016,0.0001355177,0.00003241075,0.00005039963,0.0002600043,0.0001206579,0.0002181859,0.0001346283,0.00001133989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000529404,"about_ca_system_score_gemma":0.0000118064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004260524,"about_ca_topic_score_gemma":0.00000968626,"domain_scores_codex":[0.9986217,0.000083406,0.0004187966,0.0002811612,0.0003938813,0.0002010381],"domain_scores_gemma":[0.9996032,0.0001110981,0.0001325716,0.00008886922,9.939105e-7,0.00006332243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000351349,0.000555869,0.8997139,0.00002946272,0.00001159362,2.17294e-7,0.0004210699,0.001215107,0.09537957,0.0002141103,0.00001475426,0.002409165],"study_design_scores_gemma":[0.0006792537,0.0002151864,0.9639168,0.00002338857,0.000003382177,0.000001208494,0.0000996895,0.0009586022,0.03280875,0.0003737133,0.0007746838,0.0001452988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977019,0.0000115796,0.0008237022,0.00009355812,0.00005631224,0.0003085748,0.00001577922,0.000006003541,0.0009825492],"genre_scores_gemma":[0.9335118,0.00003264176,0.06628674,0.00002448273,0.0000084169,0.00002971286,0.00002113825,0.000008054156,0.0000770081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06546303,"threshold_uncertainty_score":0.552625,"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."}}