{"id":"W4412165990","doi":"10.1021/envhealth.5c00123","title":"Combined Effects of Irradiation, Nutrients, and Cyanobacterial Composition on Microcystin Concentration in Chinese Plateau Lakes","year":2025,"lang":"en","type":"article","venue":"Environment & Health","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Yunnan University; National Institutes of Health; National Science Foundation; Yunnan Provincial Science and Technology Department; Ministry of Business, Innovation and Employment; Chinese Academy of Sciences","keywords":"Microcystin; Plateau (mathematics); Nutrient; Composition (language); Environmental chemistry; Cyanobacteria; Environmental science; Irradiation; Chemistry; Ecology; Biology; Mathematics; Physics; Bacteria; Art","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000192385,0.0001164939,0.0002149941,0.00003114927,0.00007652908,0.000009380246,0.00005959747,0.00005177589,0.00006283891],"category_scores_gemma":[0.000009322463,0.0001088924,0.00001762652,0.0000894024,0.00005928726,0.00006720049,0.00003456055,0.0000767913,0.00002232198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003185555,"about_ca_system_score_gemma":0.00001328736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002711479,"about_ca_topic_score_gemma":0.0000948811,"domain_scores_codex":[0.999025,0.0001195991,0.0003361996,0.0002174517,0.0001399785,0.0001617255],"domain_scores_gemma":[0.9995377,0.0001075894,0.0001640408,0.0001338278,9.461285e-7,0.00005587643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002035097,0.0005462631,0.9684216,0.0002972154,0.00001111197,0.000002123553,0.0008253609,0.002291217,0.02403168,0.001030107,0.0002216587,0.002118166],"study_design_scores_gemma":[0.001673842,0.0002641652,0.9926811,0.0001396234,0.000003829732,5.236814e-7,0.00001131794,0.003564416,0.0009044699,0.0002645,0.0004062271,0.0000859892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980968,0.00006098969,0.0003534684,0.0003585622,0.0001751785,0.0006477251,0.00001665725,0.000008782845,0.0002818319],"genre_scores_gemma":[0.999244,0.000181467,0.0001422978,0.000256332,0.00001414485,0.00002034618,0.00008265183,0.000005522605,0.0000532267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02425951,"threshold_uncertainty_score":0.4440502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001956331160238588,"score_gpt":0.2049714516475752,"score_spread":0.2030151204873366,"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."}}