{"id":"W1889819234","doi":"10.1029/2010gl043995","title":"Summertime trans‐Pacific transport of Asian dust","year":2010,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Outflow; Lidar; Atmosphere (unit); Asian Dust; Storm; Geology; Mineral dust; Altitude (triangle); Anomaly (physics); Environmental science; Atmospheric sciences; Aeolian processes; Dust storm; Climatology; Oceanography; Meteorology; Aerosol; Geomorphology; Geography; Remote sensing","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":[0.0001176282,0.0003140946,0.0001558511,0.0003504954,0.0006132761,0.0006010257,0.0001739056,0.0001490932,0.001252719],"category_scores_gemma":[0.0001370177,0.0001317077,0.0002179455,0.00050459,0.0001079169,0.0003458043,0.000535671,0.0003080936,0.0002018796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005042494,"about_ca_system_score_gemma":0.0004649409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05286845,"about_ca_topic_score_gemma":0.07386401,"domain_scores_codex":[0.9999433,0.000003280942,0.000003957254,0.00001870333,0.00001261599,0.00001813552],"domain_scores_gemma":[0.9998744,0.000007169379,0.00002863491,0.000008172148,0.00005483469,0.00002679838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000274173,0.00007127711,0.911903,0.0001522632,0.0002111039,0.001545993,0.002985421,0.0009341046,0.04171821,0.000383097,0.001433859,0.03838763],"study_design_scores_gemma":[0.00001288219,0.0000752038,0.9838912,0.00002802886,0.00008691257,0.0005094028,0.002700103,0.002188748,0.005473993,0.00009724079,0.004922834,0.00001345358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996401,0.0002658752,0.0002312106,0.00007635816,0.00001554451,0.000004421853,0.0003215703,0.00002397365,0.002660073],"genre_scores_gemma":[0.9981918,0.0002605256,0.000306431,0.0000237935,0.000007557584,0.000004574439,0.0004156776,0.000005745894,0.0007839698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05286845,"threshold_uncertainty_score":0.1051214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688918677648758,"score_gpt":0.2730968929384584,"score_spread":0.2562077061619708,"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."}}