{"id":"W2162042027","doi":"10.1029/2008jd009803","title":"The North American Mercury Model Intercomparison Study (NAMMIS): Study description and model‐to‐model comparisons","year":2008,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Air Canada","funders":"National Oceanic and Atmospheric Administration","keywords":"Mercury (programming language); CMAQ; Environmental science; Atmospheric sciences; Meteorology; Climatology; Air quality index; Geology; Geography; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001165315,0.0002314039,0.0005156849,0.00002830036,0.001213081,0.0001368296,0.0005995833,0.0000228299,0.00001335306],"category_scores_gemma":[0.0003621758,0.0001477195,0.0001103223,0.0006803164,0.0009175398,0.0004599094,0.0006220592,0.0008337899,0.00006127438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002326339,"about_ca_system_score_gemma":0.000106035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113458,"about_ca_topic_score_gemma":0.004563138,"domain_scores_codex":[0.996102,0.0004421507,0.0006153606,0.0003265413,0.001889166,0.0006248189],"domain_scores_gemma":[0.9982505,0.0003983269,0.0002406684,0.0003534865,0.0002201561,0.0005368871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008342331,0.003468073,0.6898313,0.000004085921,0.0001878923,0.00003094804,0.01588815,0.2360455,0.0009106523,0.00002696714,0.0446889,0.008083318],"study_design_scores_gemma":[0.0005852738,0.002774307,0.5191309,0.000008370665,0.00003576879,0.00000737321,0.01092456,0.4658208,0.0000216071,0.0003971757,0.0001374374,0.0001563192],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991932,0.00006073776,0.006310892,0.0005349779,0.00003578189,0.0006553964,0.000003860195,0.00001354572,0.0004527774],"genre_scores_gemma":[0.9960772,0.0001486694,0.002769813,0.00006086803,0.00006959876,0.00003514661,3.541073e-7,0.0000214309,0.0008169494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2297754,"threshold_uncertainty_score":0.9330162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068643188327968,"score_gpt":0.3700488527805021,"score_spread":0.2631845339477053,"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."}}