{"id":"W2166286846","doi":"10.5194/acp-10-3999-2010","title":"Impact of mineral dust on nitrate, sulfate, and ozone in transpacific Asian pollution plumes","year":2010,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":278,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Langley Research Center; National Aeronautics and Space Administration","keywords":"Mineral dust; Nitrate; Sulfate; Alkalinity; Deposition (geology); Chemical transport model; Aerosol; Atmospheric sciences; Asian Dust; Environmental chemistry; Environmental science; Ozone; Particulates; Troposphere; Ammonium; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007287785,0.0002156804,0.0002470119,1.743253e-7,0.00007379627,0.00003070824,0.00009433556,0.0001434729,0.001207197],"category_scores_gemma":[0.00001058281,0.0001843329,0.00006781266,0.0002320873,0.0002265791,0.0001399495,0.000005038997,0.0003124526,0.000003826698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004607953,"about_ca_system_score_gemma":0.00005063913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007978271,"about_ca_topic_score_gemma":0.00009125468,"domain_scores_codex":[0.9991285,0.00001258774,0.000201668,0.0002873596,0.0001189698,0.0002509153],"domain_scores_gemma":[0.9995427,0.00004464028,0.00007754068,0.000174223,0.00001973086,0.0001411617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002515916,0.0001556762,0.6179473,0.0001651347,0.0000470473,0.00001618117,0.0004224998,0.001903185,0.2700761,0.00001234604,0.00009506857,0.1089078],"study_design_scores_gemma":[0.00112376,0.0001733551,0.9650677,0.00005524471,0.00002367762,0.00003751105,0.0002240876,0.007702863,0.02452909,0.0005145451,0.0001304867,0.0004177123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892474,0.0001099584,0.00002906112,0.00003901244,0.00003417268,0.00007179847,0.00006961437,0.00001809735,0.01038089],"genre_scores_gemma":[0.9978299,0.00007165351,0.001284747,0.00001292956,0.0001386188,0.000001243359,0.00007710492,0.000005635652,0.0005782391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3471203,"threshold_uncertainty_score":0.9997059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006242512348227632,"score_gpt":0.207663891422288,"score_spread":0.2014213790740604,"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."}}