{"id":"W2908352519","doi":"10.1016/j.scitotenv.2018.12.466","title":"Characterization of phosphorus forms in a Eutrophic Lake, China","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"State Key Laboratory for Environmental Criteria and Risk Assessment; Natural Science Foundation of Anhui Province; State Administration of Foreign Experts Affairs; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Eutrophication; Phosphorus; China; Environmental science; Characterization (materials science); Environmental chemistry; Nutrient; Ecology; Geography; Chemistry; Materials science; Biology; Nanotechnology; Archaeology; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001734391,0.0002471063,0.0002625791,0.00129619,0.0009389114,0.0004764561,0.0002861403,0.0003238039,0.0002793009],"category_scores_gemma":[0.0001452117,0.000208958,0.0002022356,0.0007837386,0.0003915831,0.000383867,0.0004283533,0.0001654444,0.00005296557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004336896,"about_ca_system_score_gemma":0.0009279688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955545,"about_ca_topic_score_gemma":0.0236066,"domain_scores_codex":[0.9998959,0.000006715336,0.000009826729,0.00003167035,0.00003762052,0.00001825839],"domain_scores_gemma":[0.9998854,0.0000110057,0.00002676106,0.000003855623,0.00004310561,0.00002968083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006868461,0.0001070574,0.3145705,0.0001739268,0.00007578168,0.0009301539,0.001516242,0.0008951411,0.6681731,0.0002142943,0.0001806533,0.01247639],"study_design_scores_gemma":[0.00004468493,0.000259299,0.954352,0.000008422387,0.0000922785,0.0005608503,0.001126016,0.004388989,0.03753189,0.0002285712,0.001372025,0.00003501067],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994794,0.00004357669,0.0001077323,0.0000116771,0.0000012414,0.000003532674,0.00007570006,0.000002325437,0.0002749101],"genre_scores_gemma":[0.9984984,0.00006694222,0.0003422878,0.00001900089,0.000005166161,0.000008955257,0.0002076131,0.000003420599,0.0008482452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01955545,"threshold_uncertainty_score":0.03888327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003742250260741318,"score_gpt":0.1725015738213363,"score_spread":0.168759323560595,"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."}}