{"id":"W42902462","doi":"10.1023/a:1025563400336","title":"Monitoring the results of Canada/U.S.A acid rain control programs: some lake responses","year":2003,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of the Environment, Conservation and Parks; Trent University; Laurentian University; York University; Environment and Climate Change Canada","funders":"","keywords":"Ecotoxicology; Acid rain; Environmental science; Water pollution; Hydrology (agriculture); Ecology; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002066172,0.000136345,0.0001310206,0.0005338597,0.000959357,0.0009079099,0.000313346,0.0004301356,0.0007979263],"category_scores_gemma":[0.005799622,0.0000891518,0.000107213,0.0009143409,0.0004733081,0.0002326194,0.000559775,0.000408153,0.00006555566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006458947,"about_ca_system_score_gemma":0.005841655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.745819,"about_ca_topic_score_gemma":0.9265119,"domain_scores_codex":[0.9984691,0.0004571884,0.00005567958,0.00006395626,0.0006321383,0.0003219484],"domain_scores_gemma":[0.9952838,0.0007537655,0.0007215251,0.0000882431,0.002478493,0.0006741324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001066874,0.0002126005,0.8778142,0.0001830335,0.0002509688,0.0001629953,0.003077511,0.001769943,0.004557024,0.000668778,0.01518296,0.09505309],"study_design_scores_gemma":[0.00002198639,0.0001389565,0.9891647,0.00002398543,0.00005038003,0.00002222217,0.002182178,0.0008525533,0.001647342,0.0001255392,0.005760267,0.000009944077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751537,0.0005158134,0.0004599921,0.00620366,0.00002498099,0.0000800814,0.001016205,0.00006728729,0.01647817],"genre_scores_gemma":[0.9968228,0.0002077103,0.0003342202,0.0005669682,0.00001155461,0.00001491607,0.0002327106,0.000005896205,0.001803196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.254181,"threshold_uncertainty_score":0.5113559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009070143730906493,"score_gpt":0.2239355419006053,"score_spread":0.2148653981696988,"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."}}