{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001020966,0.00008078057,0.00007568835,0.000002273453,0.0003939352,0.00006216051,0.0001260003,0.00002129575,0.0003180035],"category_scores_gemma":[0.00001477891,0.00006409065,0.00001097644,0.0001182826,0.0004988738,0.0002706324,0.00004071514,0.00005668291,0.00001588981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001029082,"about_ca_system_score_gemma":0.00001422578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009473265,"about_ca_topic_score_gemma":0.00003606609,"domain_scores_codex":[0.9992862,0.00001170367,0.0001086089,0.0002348988,0.0002008967,0.000157642],"domain_scores_gemma":[0.99972,0.00001733187,0.00003332128,0.0001051765,0.000002350519,0.0001217746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002730564,0.00007660889,0.9890596,0.000001995029,0.000002931927,5.739019e-7,0.0002593414,0.002747233,0.005328582,0.00002739046,0.000002348802,0.002490624],"study_design_scores_gemma":[0.0001204613,0.0000982355,0.9609162,0.000004197789,0.000005938401,0.000005237958,0.0007148304,0.03738083,0.0005247711,0.0001529561,0.000001352248,0.00007499578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985682,0.00005933386,0.0004980044,0.00007365526,0.00002416701,0.0001541583,0.00008229374,0.000007980614,0.0005322315],"genre_scores_gemma":[0.9996397,0.00001091657,0.0002968554,0.00001454828,0.00001171437,0.000001274304,0.00000897347,7.090962e-7,0.00001532152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0346336,"threshold_uncertainty_score":0.3481916,"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."}}