{"id":"W4414169829","doi":"10.1007/s10750-025-05960-9","title":"Impacts of atmospheric nitrogen deposition and lake browning on planktonic biomass ratios and nutrient accumulation in northern lakes","year":2025,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Vetenskapsrådet; Carl Tryggers Stiftelse för Vetenskaplig Forskning; Svenska Forskningsrådet Formas; Parkinson’s Disease Foundation of India","keywords":"Zooplankton; Seston; Plankton; Copepod; Dominance (genetics); Nutrient; Phytoplankton; Biomass (ecology)","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":[0.0003047414,0.0002008427,0.0002183499,0.0003372896,0.0004912234,0.0004889943,0.0001095168,0.0001778733,0.000558756],"category_scores_gemma":[0.0005376632,0.0001801613,0.0002197758,0.0003381833,0.000460773,0.0002327581,0.0004839055,0.0001118527,0.00004937845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006869569,"about_ca_system_score_gemma":0.0004549435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02571766,"about_ca_topic_score_gemma":0.05425352,"domain_scores_codex":[0.9998745,0.00003989708,0.000008800206,0.00002538583,0.0000262123,0.00002518169],"domain_scores_gemma":[0.9996898,0.00008556035,0.0001001785,0.00001230037,0.00004380677,0.00006825299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007338624,0.00004667127,0.9752377,0.00002777942,0.0001449631,0.0001721146,0.000465063,0.0005670057,0.01990999,0.00004666451,0.00005887807,0.002589463],"study_design_scores_gemma":[0.000001839239,0.00003200375,0.9994001,8.070796e-7,0.00001351197,0.0000125384,0.0001003827,0.0001634587,0.000233616,0.00001079507,0.00002954745,0.000001315726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998595,0.00002783973,0.000009725822,0.000003150843,3.488908e-7,5.545082e-7,0.00001916662,8.422204e-7,0.00007895053],"genre_scores_gemma":[0.9998443,0.0000183965,0.00002958847,0.00000346207,6.586827e-7,0.000001361171,0.00003338751,5.849736e-7,0.00006819437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02571766,"threshold_uncertainty_score":0.05113596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007778429488973175,"score_gpt":0.2272184502707293,"score_spread":0.2194400207817561,"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."}}