{"id":"W2168999725","doi":"10.1016/j.scitotenv.2007.01.071","title":"Intercomparison study of atmospheric mercury models: 2. Modelling results vs. long-term observations and comparison of country deposition budgets","year":2007,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Deposition (geology); Atmospheric sciences; Climatology; Mercury (programming language); Meteorology; Geography; Geology","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":[0.007022388,0.0009084027,0.0005054455,0.0009023851,0.0004805358,0.000900914,0.001010468,0.0008171043,0.0008627393],"category_scores_gemma":[0.007921954,0.0002979644,0.001286277,0.001395916,0.0003300734,0.001680428,0.0009503632,0.0006606127,0.0002062366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503848,"about_ca_system_score_gemma":0.0008731472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01865065,"about_ca_topic_score_gemma":0.009532921,"domain_scores_codex":[0.9978433,0.00139037,0.00009539363,0.000336273,0.0002126027,0.0001221571],"domain_scores_gemma":[0.9927437,0.004264099,0.0007659934,0.001026239,0.001030638,0.0001692377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01421314,0.003375049,0.5496049,0.0008430448,0.008394847,0.001092549,0.002843944,0.2900262,0.03136856,0.006235201,0.008316984,0.08368553],"study_design_scores_gemma":[0.001970712,0.003725345,0.7658798,0.000128332,0.003934864,0.000472378,0.002630912,0.1610333,0.04188107,0.003080517,0.01500735,0.0002555304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930474,0.0006236253,0.002711603,0.0002832062,0.00004418183,0.00004577159,0.001557103,0.0001041128,0.001583047],"genre_scores_gemma":[0.9946412,0.0002030105,0.002515541,0.00006568397,0.00002033869,0.00005941244,0.00176117,0.00003495776,0.0006986141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01865065,"threshold_uncertainty_score":0.03713834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04617394623956332,"score_gpt":0.2784649557758449,"score_spread":0.2322910095362816,"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."}}