{"id":"W4376470393","doi":"10.1525/elementa.2022.00129","title":"Modelling the coupled mercury-halogen-ozone cycle in the central Arctic during spring","year":2023,"lang":"en","type":"article","venue":"Elementa Science of the Anthropocene","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Biological and Environmental Research; Office of Science; Grand Équipement National De Calcul Intensif; U.S. Department of Energy","keywords":"Mercury (programming language); Snow; Arctic; Ozone; Environmental chemistry; Ozone depletion; Environmental science; Bromine; Atmospheric sciences; Chemistry; Climatology; Meteorology; Oceanography; 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":[0.0003687865,0.0009890947,0.0006582497,0.0004194705,0.0008754323,0.001291096,0.001000563,0.001605262,0.00132416],"category_scores_gemma":[0.0006219773,0.0004688455,0.001300846,0.0006459272,0.0004172267,0.0004910156,0.0006464818,0.0007309361,0.0001727683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002567949,"about_ca_system_score_gemma":0.002684287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3814459,"about_ca_topic_score_gemma":0.2391195,"domain_scores_codex":[0.9998571,0.00002776166,0.000007368043,0.00004197034,0.00002078834,0.00004503009],"domain_scores_gemma":[0.9997435,0.00008828351,0.00003058142,0.00001305454,0.00007772788,0.00004677292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006961683,0.00005151191,0.005642713,0.00001867858,0.00005913794,0.00009259023,0.00003010242,0.9917127,0.001107871,0.0003468483,0.0001864982,0.0006817477],"study_design_scores_gemma":[0.00003798408,0.00003012475,0.004087635,0.000004890725,0.00003248145,0.000007687311,0.00005443112,0.9949066,0.0003261777,0.0001704775,0.0003290901,0.00001241103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877366,0.0003047187,0.004721165,0.000187096,0.00008451587,0.00003912746,0.001713031,0.0001470143,0.005066619],"genre_scores_gemma":[0.9944851,0.0001583749,0.002493648,0.00004406738,0.00002010721,0.00003431136,0.001126023,0.00003338594,0.001604909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3814459,"threshold_uncertainty_score":0.7584512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300375783207231,"score_gpt":0.2766711219461487,"score_spread":0.2536673641140764,"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."}}