{"id":"W2357874555","doi":"","title":"Species Selection for Deriving Water Quality Criteria for Protection of Aquatic Organisms in China","year":2012,"lang":"en","type":"article","venue":"The Research of Environmental Sciences","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aquatic ecosystem; Water quality; Trophic level; Ecology; China; Ecosystem; Zooplankton; Biology; Lake ecosystem; Macrophyte; Biota; Fishery; Environmental science; 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":[0.002123362,0.0003215463,0.0003356682,0.00274803,0.0007733027,0.0003717126,0.000388127,0.0001801899,0.0008401753],"category_scores_gemma":[0.002251719,0.0001377877,0.0005653872,0.001610449,0.0003352875,0.0003968885,0.0006042602,0.0001414414,0.0001012413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093902,"about_ca_system_score_gemma":0.001713697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01683606,"about_ca_topic_score_gemma":0.02701063,"domain_scores_codex":[0.999255,0.0001954948,0.0001045252,0.0001050685,0.000217707,0.000122166],"domain_scores_gemma":[0.9987965,0.000242678,0.0002839218,0.00008335455,0.0004467747,0.0001467434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002354937,0.00006531816,0.8841282,0.0002031594,0.0001967601,0.0005055604,0.0008404452,0.005367112,0.03676588,0.001064587,0.0007067791,0.06992077],"study_design_scores_gemma":[0.00002981309,0.0001601453,0.9838232,0.00002383812,0.0001347813,0.0001657974,0.0005576986,0.009255172,0.003610461,0.0007228201,0.001494308,0.00002204416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956558,0.0001264845,0.002007366,0.00004919226,0.000004971564,0.00005584179,0.0002190214,0.00001565767,0.001865554],"genre_scores_gemma":[0.9955903,0.00006689152,0.003507239,0.00002551367,0.000002742908,0.00003672421,0.0004939396,0.000004121745,0.0002725344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01683606,"threshold_uncertainty_score":0.03347617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2119340780481458,"score_gpt":0.4237855906186541,"score_spread":0.2118515125705084,"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."}}