{"id":"W4231445922","doi":"10.5194/acpd-7-7987-2007","title":"Development and evaluation of an operational SDS forecasting system for East Asia: CUACE/DUST","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Key Research and Development Program of China","keywords":"Dust storm; Environmental science; Asian Dust; Meteorology; Geostationary orbit; Aerosol; Storm; East Asia; Data assimilation; Climatology; Satellite; China; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001782529,0.0006130385,0.0004875026,0.0006959292,0.0003622908,0.0007325641,0.001044251,0.000329003,0.001223917],"category_scores_gemma":[0.002307138,0.0002488977,0.0002748454,0.0005348899,0.0001778121,0.0008369121,0.0007503243,0.0004386475,0.0003397723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008304378,"about_ca_system_score_gemma":0.001770316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04736093,"about_ca_topic_score_gemma":0.02473772,"domain_scores_codex":[0.9996208,0.00006223524,0.00003912216,0.000118054,0.0001195329,0.00004027482],"domain_scores_gemma":[0.9986256,0.0001393886,0.00008554437,0.0002136902,0.0007538305,0.0001819202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001997598,0.001314138,0.190173,0.0002463043,0.0004147365,0.0005660455,0.0009741042,0.2739429,0.05187714,0.001610332,0.02200683,0.454877],"study_design_scores_gemma":[0.000379832,0.0003184852,0.03158583,0.00001086078,0.00007923981,0.00003368145,0.0001965187,0.9439912,0.01836013,0.0002361512,0.004767522,0.00004052782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9190316,0.0001375473,0.05687751,0.0002569212,0.0001567957,0.0005329957,0.003994572,0.01353789,0.005474176],"genre_scores_gemma":[0.9272782,0.0000461398,0.06450906,0.00005706085,0.0000264804,0.0001128512,0.006308841,0.0001307135,0.001530654],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04736093,"threshold_uncertainty_score":0.09417051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0978602242406609,"score_gpt":0.2806314823216976,"score_spread":0.1827712580810367,"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."}}