{"id":"W4224232894","doi":"10.1080/15481603.2022.2060596","title":"Gap-filling MODIS daily aerosol optical depth products by developing a spatiotemporal fitting algorithm","year":2022,"lang":"en","type":"article","venue":"GIScience & Remote Sensing","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Innovation and Advanced Education","keywords":"Moderate-resolution imaging spectroradiometer; Remote sensing; Residual; Aerosol; Environmental science; Pixel; Atmospheric correction; Spectroradiometer; Image resolution; Smoothing; Algorithm; Meteorology; Computer science; Geography; Mathematics; Satellite; Artificial intelligence; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007752174,0.0006678562,0.0006148228,0.001040622,0.0004169706,0.0007405554,0.0011613,0.0006416298,0.001162984],"category_scores_gemma":[0.002556526,0.0004049061,0.001218268,0.001402201,0.0002483989,0.001313918,0.001037422,0.0007255909,0.00068145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004520503,"about_ca_system_score_gemma":0.001143993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01058646,"about_ca_topic_score_gemma":0.007523157,"domain_scores_codex":[0.9994887,0.00004760893,0.00006516946,0.000193505,0.0001675174,0.00003747825],"domain_scores_gemma":[0.9993968,0.0001086566,0.00008709555,0.0001038468,0.0002808188,0.00002282393],"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":[0.000164462,0.0001803809,0.01270846,0.0001784265,0.0001243414,0.0002611247,0.0003583916,0.3298325,0.03199441,0.004880083,0.004958059,0.6143594],"study_design_scores_gemma":[0.000008572469,0.00002010792,0.001194448,0.000005212999,0.00001237111,0.00005206196,0.00003112458,0.9922419,0.003448606,0.0008612072,0.002113742,0.00001074327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03831661,0.0001444736,0.9588316,0.00006683465,0.00004468857,0.00005337372,0.0002389151,0.001851579,0.000451929],"genre_scores_gemma":[0.1521068,0.0001736741,0.8447499,0.00007038782,0.0000349605,0.0001230699,0.00140431,0.0003505466,0.0009863708],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01058646,"threshold_uncertainty_score":0.02104968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854521222359834,"score_gpt":0.2338772739012107,"score_spread":0.2153320616776124,"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."}}