{"id":"W2103678588","doi":"10.1007/s10646-004-6259-9","title":"Estimation and Mapping of Wet and Dry Mercury Deposition Across Northeastern North America","year":2005,"lang":"en","type":"article","venue":"Ecotoxicology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":182,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education, Recreation and Sports","funders":"U.S. Geological Survey; National Oceanic and Atmospheric Administration","keywords":"Mercury (programming language); Environmental chemistry; Environmental science; Deposition (geology); Ecosystem; Trophic level; Aerosol; Biota; Atmospheric sciences; Hydrology (agriculture); Chemistry; Ecology; Geology; Sediment","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":[0.0002706221,0.0001875879,0.0001674149,0.0007903572,0.0004889726,0.0004353601,0.0002567429,0.0002034093,0.0003187149],"category_scores_gemma":[0.0004428654,0.0001902324,0.000124591,0.0009652614,0.0002747249,0.0002955931,0.0003222555,0.0001403014,0.00007247413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007417614,"about_ca_system_score_gemma":0.0007036129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3277657,"about_ca_topic_score_gemma":0.5169234,"domain_scores_codex":[0.9998817,0.00001413947,0.000006598916,0.00005137676,0.00003076633,0.00001537808],"domain_scores_gemma":[0.9996814,0.00006359768,0.00008385013,0.00002625327,0.0001191674,0.00002571309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001265169,0.00007308072,0.9371287,0.00006292801,0.0001201445,0.0001104158,0.001046459,0.003608347,0.02220231,0.0001375016,0.0003884805,0.03499515],"study_design_scores_gemma":[0.000002080709,0.000007465134,0.9975732,0.000002679796,0.00001103566,0.00001858193,0.0001999419,0.001225521,0.0004424711,0.00001965693,0.0004955195,0.000001864737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982317,0.0001231739,0.0004404878,0.0000254446,0.000001399509,0.000007764058,0.0002523406,0.00001491365,0.0009028063],"genre_scores_gemma":[0.9968594,0.0001696815,0.001810803,0.00001633192,0.000002144932,0.00001469417,0.0004012032,0.000004004712,0.0007217434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6722343,"threshold_uncertainty_score":0.6517159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296289459774938,"score_gpt":0.2633678399235718,"score_spread":0.2504049453258224,"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."}}