{"id":"W4318159558","doi":"10.1139/cjfas-2022-0225","title":"Using a multi-proxy paleolimnological approach to track the effects of multiple stressors on a naturally acidic lake from Killarney Provincial Park (Ontario, Canada)","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; Queen's University","funders":"","keywords":"Paleolimnology; National park; Aquatic ecosystem; Acid deposition; Environmental science; Climate change; Diatom; Ecosystem; Acid rain; Ecology; Limnology; Oceanography; Environmental chemistry; Geology; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.000263868,0.00024117,0.0002177123,0.0007480576,0.00126024,0.0008906094,0.0004634742,0.0002586456,0.000825979],"category_scores_gemma":[0.0005244364,0.0001737819,0.0001773032,0.001464452,0.0003830848,0.000248192,0.0006633669,0.0003324613,0.0001120526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005342179,"about_ca_system_score_gemma":0.005038589,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9103423,"about_ca_topic_score_gemma":0.9822482,"domain_scores_codex":[0.9998536,0.00001251864,0.000004918204,0.00004796219,0.00004003659,0.00004092978],"domain_scores_gemma":[0.9996725,0.00001633124,0.00007042749,0.00001720419,0.0001577595,0.00006574167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008604911,0.00003336567,0.9799576,0.00003355286,0.0001212699,0.00008990846,0.001046291,0.001032343,0.005976089,0.0001291502,0.0006994493,0.01079497],"study_design_scores_gemma":[0.000005313411,0.00001408735,0.9957903,0.00000654158,0.00002263295,0.00002217518,0.0005596824,0.001881592,0.0002923308,0.00003044586,0.001367612,0.000007255538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965528,0.0001252434,0.0006500595,0.00007015241,0.00000310444,0.00002087414,0.001144794,0.00001911542,0.001413979],"genre_scores_gemma":[0.9964071,0.00008080353,0.001675911,0.00003370825,0.000002252118,0.00002298681,0.0008987032,0.000007119718,0.0008714008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08965766,"threshold_uncertainty_score":0.1803713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957260057246011,"score_gpt":0.2212388097347107,"score_spread":0.1916662091622506,"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."}}