{"id":"W4386788051","doi":"10.1016/j.atmosres.2023.106993","title":"Quantifying the contribution of Middle Eastern dust sources to PM10 levels in Ahvaz, Southwest Iran","year":2023,"lang":"en","type":"article","venue":"Atmospheric Research","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Canada West; Université du Québec à Trois-Rivières; Université Laval","funders":"","keywords":"HYSPLIT; Dust storm; Environmental science; Atmospheric sciences; Correlation coefficient; Meteorology; Storm; Statistics; Mathematics; Aerosol; 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":[0.0002233308,0.0003024291,0.0002040844,0.000676367,0.0004099788,0.0004450866,0.0003076477,0.0002376364,0.0002739122],"category_scores_gemma":[0.0002272701,0.0001544918,0.0003017802,0.0006605334,0.0001585092,0.0002323691,0.0002771462,0.0001602699,0.00009896532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005531223,"about_ca_system_score_gemma":0.0006964477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08461767,"about_ca_topic_score_gemma":0.08934268,"domain_scores_codex":[0.9998893,0.0000135671,0.000009378977,0.00002328041,0.00003087134,0.00003357876],"domain_scores_gemma":[0.999917,0.00001268408,0.00002027709,0.000005101124,0.00003503072,0.000009904729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001111337,0.00008139208,0.979382,0.00004439345,0.0001155414,0.0001939339,0.0006641796,0.001475192,0.005194741,0.0001441828,0.0003694881,0.01222371],"study_design_scores_gemma":[0.000005546014,0.00001730653,0.9968666,0.000005327236,0.00003578139,0.00003909388,0.0007858247,0.001213741,0.0005295088,0.00004372786,0.0004540589,0.000003371291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992381,0.00007467256,0.0001282364,0.00002715067,0.00000295178,0.000004474692,0.0002019257,0.000004286198,0.0003181737],"genre_scores_gemma":[0.9993048,0.00006559139,0.0002011013,0.000008746427,0.000005821756,0.000004367652,0.0002389014,0.000001205467,0.0001693887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08461767,"threshold_uncertainty_score":0.1682503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1828684634703837,"score_gpt":0.3424129618712347,"score_spread":0.1595444984008509,"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."}}