{"id":"W2102170561","doi":"10.5194/acp-8-5353-2008","title":"A multi-model assessment of pollution transport to the Arctic","year":2008,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":504,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Environment Research Council; Sight Research UK; Department for Environment, Food and Rural Affairs, UK Government; National Aeronautics and Space Administration","keywords":"Environmental science; Arctic; Aerosol; Troposphere; Chemical transport model; Atmospheric sciences; Deposition (geology); Climatology; Boreal; East Asia; Pollution; Altitude (triangle); Pollutant; Ozone; Oceanography; Structural basin; Meteorology; Geography; Geology; Chemistry; Ecology","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":[0.00007893579,0.0001524438,0.0001787171,3.963904e-8,0.0002064095,0.000007259385,0.0001688324,0.00005561419,0.0006274527],"category_scores_gemma":[0.00000719268,0.0001131064,0.00007043672,0.0002016173,0.0001517128,0.00007539224,0.000008336903,0.0001390447,0.000007065788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006335121,"about_ca_system_score_gemma":0.00009247488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003162404,"about_ca_topic_score_gemma":0.00001537388,"domain_scores_codex":[0.9991781,0.000009978377,0.000189693,0.0002347741,0.0001885807,0.0001988326],"domain_scores_gemma":[0.9995111,0.00003292405,0.00006979013,0.0002302319,0.00003635682,0.000119601],"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":[0.00008342941,0.0002445817,0.3826783,0.0003609116,0.000110376,0.00002163723,0.00171201,0.5177742,0.03602895,0.00002455436,0.0003757884,0.06058519],"study_design_scores_gemma":[0.0005015174,0.00004665992,0.3880108,0.00004015278,0.00004689603,0.00005013955,0.000168385,0.6024556,0.007004276,0.0001386114,0.001204097,0.0003329302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725872,0.0001380275,0.02399852,0.0001582835,0.0000263619,0.0001091071,0.00004351642,0.00002207804,0.002916939],"genre_scores_gemma":[0.9494638,0.00007815086,0.04797812,0.0001693842,0.00009973483,0.000003001011,0.00003798606,0.000004044479,0.002165809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08468129,"threshold_uncertainty_score":0.6870167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576261247828878,"score_gpt":0.2274575275373573,"score_spread":0.2116949150590686,"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."}}