{"id":"W2098966382","doi":"10.1016/j.envpol.2008.01.021","title":"Reconciling models and measurements to assess trends in atmospheric mercury deposition","year":2008,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Environmental Protection Agency","keywords":"Ombrotrophic; HYSPLIT; Environmental science; CMAQ; Mercury (programming language); Deposition (geology); Bay; Atmospheric sciences; Sediment; Bog; Physical geography; Climatology; Hydrology (agriculture); Oceanography; Meteorology; Peat; Geology; Air quality index; Geography; Aerosol","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001676692,0.0001435778,0.0001318937,0.00002676722,0.0002065489,0.000009694487,0.00005860491,0.00005065524,0.0004682519],"category_scores_gemma":[0.000006359922,0.000147823,0.00003080667,0.0001910611,0.0001174898,0.0004619732,0.00009528808,0.00007498767,0.0001363113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005655182,"about_ca_system_score_gemma":0.000002795467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002265979,"about_ca_topic_score_gemma":0.00009524202,"domain_scores_codex":[0.9988802,0.00005931238,0.0002090013,0.0002867798,0.000324695,0.0002400063],"domain_scores_gemma":[0.9997023,0.000007822357,0.00004964866,0.0001134366,8.287155e-7,0.0001259457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007781984,0.0002541755,0.5652156,0.000004752072,0.00002605647,0.00001643218,0.004278908,0.02991898,0.2925448,0.00001299216,0.001346182,0.1063033],"study_design_scores_gemma":[0.0004487523,0.00007890346,0.98957,0.00001115786,0.00001028143,0.00003315498,0.0002579321,0.003181042,0.005851717,0.00009593005,0.0002372242,0.0002239523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993933,0.0001188159,0.001773088,0.0001954397,0.00006980303,0.0001443762,0.000008078457,0.00002264945,0.003734738],"genre_scores_gemma":[0.9968978,0.000116408,0.002164176,0.0003622941,0.00001958632,0.00002533568,0.00001390297,0.00001169025,0.0003888424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4243543,"threshold_uncertainty_score":0.6028048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08070521242640187,"score_gpt":0.2707595040413816,"score_spread":0.1900542916149797,"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."}}