{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002290156,0.000146938,0.0002458384,0.000005464409,0.0003310711,0.0001022754,0.0006094924,0.0001034761,0.001196839],"category_scores_gemma":[0.0005078525,0.0001036652,0.00006920627,0.002569868,0.0002550838,0.0001344838,0.00008814262,0.0004029906,0.001008868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001411187,"about_ca_system_score_gemma":0.000103644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008095446,"about_ca_topic_score_gemma":0.004681594,"domain_scores_codex":[0.9974473,0.0002657834,0.000369139,0.0003670746,0.0007741678,0.0007765972],"domain_scores_gemma":[0.998395,0.0008683218,0.00007157824,0.0003735444,0.0001275591,0.0001639678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007562339,0.00002222757,0.9770545,0.00003788535,0.00001593505,0.00003308788,0.002048095,0.008927381,0.002440687,0.00003518359,0.000391346,0.008918039],"study_design_scores_gemma":[0.000408023,0.0001402519,0.9680054,0.0001101293,0.000004216954,0.000005061196,0.008018374,0.01697202,0.002339828,0.0001823001,0.003634581,0.0001797888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963777,0.0003225676,0.0001172101,0.0008910868,0.0001175482,0.00037347,0.00002627974,0.00004608639,0.001728037],"genre_scores_gemma":[0.9976653,0.0000374249,0.0003054418,0.00005448426,0.0001206776,0.00001039166,0.00003589973,0.000007404059,0.001763013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00904909,"threshold_uncertainty_score":0.999769,"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."}}