{"id":"W2013154303","doi":"10.5194/acp-13-4839-2013","title":"Evaluation of discrepancy between measured and modelled oxidized mercury species","year":2013,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Collège de Maisonneuve; TransCanada (Canada); McGill University","funders":"U.S. Geological Survey; McGill University","keywords":"Mercury (programming language); Chemistry; Precipitation; Environmental chemistry; Particulates; Atmospheric sciences; Analytical Chemistry (journal); Environmental science; Meteorology; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002122085,0.0001050642,0.0001680491,7.538932e-8,0.00007688446,0.0000146146,0.00004574281,0.00003441068,0.002099427],"category_scores_gemma":[0.00003406654,0.00008961996,0.00002726429,0.00008646969,0.0001879525,0.0001609025,0.0000524825,0.00004534691,0.00001493088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002597557,"about_ca_system_score_gemma":0.000009607556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001173098,"about_ca_topic_score_gemma":0.000001107375,"domain_scores_codex":[0.9992138,0.00003101637,0.0001411684,0.0001555715,0.0003519043,0.0001065631],"domain_scores_gemma":[0.9996622,0.00003851447,0.00007271302,0.0001212546,0.00004064814,0.00006468379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001338474,0.00008933961,0.07387698,0.00009366769,0.0001854648,1.6904e-7,0.00279396,0.0006119902,0.4860716,0.00004230969,0.001126366,0.4350947],"study_design_scores_gemma":[0.003700272,0.00008188692,0.5321096,0.00009044271,0.00108317,0.000004853609,0.002011671,0.126763,0.289222,0.04193749,0.001967965,0.001027625],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813761,0.0002332052,0.000417426,0.00006693726,0.000008568952,0.0001439443,0.000004542584,0.00001088888,0.01773838],"genre_scores_gemma":[0.9968766,0.0001064915,0.002018374,0.000011673,0.00004463696,0.00001997534,0.000007108883,0.000005733952,0.0009094189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4582326,"threshold_uncertainty_score":0.9988128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02994416249012519,"score_gpt":0.252305413977319,"score_spread":0.2223612514871938,"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."}}