{"id":"W2095516484","doi":"10.1016/j.atmosenv.2007.06.035","title":"Estimation of mercury loadings to Lake Ontario: Results from the Lake Ontario atmospheric deposition study (LOADS)","year":2007,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; U.S. Environmental Protection Agency","keywords":"Mercury (programming language); Deposition (geology); Hydrology (agriculture); Environmental science; Atmospheric sciences; Particulates; MERCURE; Environmental chemistry; Chemistry; Geology; Analytical Chemistry (journal); Geomorphology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007699758,0.0003405321,0.0003428382,0.000001982627,0.0003205378,0.00003712826,0.0003423481,0.00008810442,0.006053378],"category_scores_gemma":[0.00005158314,0.0002672155,0.000106442,0.000263049,0.0001881629,0.0002566313,0.0003228318,0.0002331202,0.0008130012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008913292,"about_ca_system_score_gemma":0.00002996686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1957472,"about_ca_topic_score_gemma":0.9142151,"domain_scores_codex":[0.9972244,0.00008286315,0.0007830337,0.0005923394,0.0008547321,0.0004626143],"domain_scores_gemma":[0.9985457,0.000246118,0.0003384588,0.0006518185,0.000007486449,0.0002104095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003149537,0.0007013254,0.8834573,0.000002754284,0.0001466746,0.00001895063,0.03946947,0.04219687,0.001072465,0.000004672429,0.005059461,0.0275551],"study_design_scores_gemma":[0.0008981525,0.0004325666,0.9557365,0.00002111318,0.000123958,0.000003175944,0.001156489,0.0002651587,0.0005453132,0.00004607613,0.04047003,0.0003015378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849113,0.00002980794,0.008931867,0.0002573011,0.0002086967,0.001054465,0.00003115677,0.00003934949,0.004536038],"genre_scores_gemma":[0.9720176,0.00001438828,0.02222592,0.0005568096,0.00004109575,0.00005426259,0.00006379152,0.00002703929,0.004999114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7184679,"threshold_uncertainty_score":0.999978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113540056728939,"score_gpt":0.2260413747516725,"score_spread":0.2149059741843831,"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."}}