{"id":"W2171450686","doi":"10.5194/amtd-4-5275-2011","title":"Contrasting aerosol trends over South Asia during the last decade based on MODIS observations","year":2011,"lang":"en","type":"article","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Aerosol; Environmental science; Climatology; Precipitation; Monsoon; Satellite; Climate change; Geography; South asia; Atmospheric sciences; Physical geography; Meteorology; Geology; Oceanography","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":[0.0002255795,0.0002526669,0.0001658318,0.0007005812,0.0001774605,0.000526656,0.0001697971,0.0001480333,0.0005647926],"category_scores_gemma":[0.000273971,0.0000886097,0.0002908283,0.001136511,0.0001338201,0.0003409936,0.0003193281,0.0001512974,0.0001762633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003148123,"about_ca_system_score_gemma":0.0003060084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01648576,"about_ca_topic_score_gemma":0.0196516,"domain_scores_codex":[0.9999182,0.000006184972,0.00001491084,0.00002695507,0.00001709076,0.00001664484],"domain_scores_gemma":[0.9996597,0.00003182653,0.0001311445,0.00002025444,0.0001212353,0.00003596828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001455596,0.00003233072,0.9784275,0.0001888246,0.0001749064,0.0005099262,0.001063954,0.0007897979,0.008103569,0.0001188211,0.0006360718,0.009808789],"study_design_scores_gemma":[0.000002893149,0.00002215672,0.9962091,0.00001511643,0.00004991599,0.0001436584,0.0007425155,0.0006302806,0.000886434,0.00001773388,0.00127497,0.000005211529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978657,0.0002280898,0.00007159595,0.00003239805,0.000005374952,0.000002710145,0.00116034,0.00001018423,0.0006236948],"genre_scores_gemma":[0.9971523,0.0002795969,0.0001848052,0.00002176842,0.000007060675,0.000006213282,0.002072232,0.000004071716,0.0002719839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01648576,"threshold_uncertainty_score":0.03277957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668152098063874,"score_gpt":0.2110573668365304,"score_spread":0.1843758458558917,"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."}}