{"id":"W2359279920","doi":"","title":"The dust spatial distribution characteristic in spring and Northern Pacific region —— observation and simulation.","year":2005,"lang":"en","type":"article","venue":"China Environmental Science","topic":"Aeolian processes and effects","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Subsidence; Dust storm; Deposition (geology); Storm; Environmental science; Spring (device); Asian Dust; Spatial distribution; Atmospheric sciences; Mineral dust; Geology; Oceanography; Climatology; Meteorology; Geography; Aerosol; Geomorphology; Sediment","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":[0.0001740678,0.0002768966,0.0002242074,0.0002493257,0.0003326008,0.0003505637,0.0005746974,0.0005568938,0.001058982],"category_scores_gemma":[0.000489132,0.0002693243,0.0004045544,0.0004500203,0.0002544175,0.0004374589,0.0002325586,0.0004066008,0.0001264731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006832516,"about_ca_system_score_gemma":0.0005674941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1018298,"about_ca_topic_score_gemma":0.06023807,"domain_scores_codex":[0.9999434,0.000008681788,0.00000357256,0.00001927414,0.00000977599,0.00001535949],"domain_scores_gemma":[0.9998009,0.00007476486,0.00002524033,0.00002091469,0.00003754777,0.00004064988],"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":[0.0002376872,0.0002965597,0.1953035,0.00009850485,0.0001420292,0.0008966001,0.0002575475,0.7858167,0.004259748,0.001005193,0.002045563,0.009640292],"study_design_scores_gemma":[0.00004979955,0.00003492919,0.05987193,0.000005167911,0.00002892271,0.00006423366,0.0001377096,0.9381905,0.0005873507,0.0002541639,0.0007626961,0.0000125815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971981,0.00004024481,0.0009275488,0.00006592144,0.000007906021,0.000007145377,0.0005334934,0.00005805492,0.001161356],"genre_scores_gemma":[0.9986927,0.00003463272,0.0006407417,0.000004761465,0.000003211434,0.000004953242,0.0003884704,0.000006117937,0.0002243762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1018298,"threshold_uncertainty_score":0.2024741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006079487590921586,"score_gpt":0.1770310834847987,"score_spread":0.1709515958938771,"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."}}