{"id":"W2351455586","doi":"","title":"Modeling study on distributions and variations of global dust aerosol sources and sinks","year":2013,"lang":"en","type":"article","venue":"China Environmental Science","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Aerosol; Environmental science; Peninsula; Mineral dust; Atmospheric sciences; Climatology; Seasonality; East Asia; Asian Dust; Geography; Meteorology; Geology; China; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004990242,0.0007833298,0.0004054128,0.0004779898,0.0003608533,0.0006697256,0.000765819,0.0007249466,0.0006034945],"category_scores_gemma":[0.0006382789,0.0004187969,0.0008200325,0.0006821511,0.0002207463,0.0007493729,0.0003259031,0.0004115312,0.0001201919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009573331,"about_ca_system_score_gemma":0.0007401836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05612791,"about_ca_topic_score_gemma":0.02813928,"domain_scores_codex":[0.9998771,0.00002861427,0.000009011654,0.00005083155,0.00001388163,0.00002055761],"domain_scores_gemma":[0.9997984,0.00007812372,0.00003463091,0.00002244179,0.00004166769,0.00002464236],"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":[0.00005161651,0.00004623668,0.03639567,0.00002592836,0.00008314026,0.0001125161,0.00004852045,0.9579359,0.001759307,0.0008068347,0.0003588919,0.002375517],"study_design_scores_gemma":[0.00002093438,0.0000140586,0.006577486,0.000002669041,0.00002252284,0.00001722346,0.00002365053,0.9921929,0.0003697626,0.000241123,0.0005110628,0.000006573217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834363,0.0002318914,0.01122872,0.0002433116,0.00002421367,0.00002359234,0.001777141,0.0002818329,0.002752792],"genre_scores_gemma":[0.994674,0.0001420445,0.00314347,0.00002341776,0.00001091331,0.00001755884,0.001314241,0.00003941362,0.0006349399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05612791,"threshold_uncertainty_score":0.1116024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007241410951524059,"score_gpt":0.1930650227211871,"score_spread":0.1858236117696631,"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."}}