{"id":"W4315488980","doi":"10.21608/erjeng.2023.182938.1133","title":"Evaluation of different atmospheric correction methods prior to the estimation of total dissolved solids concentrations from satellite imagery","year":2023,"lang":"en","type":"article","venue":"Journal of Engineering Research - Egypt/Journal of Engineering Research","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Satellite imagery; Satellite; Environmental science; Dissolved organic carbon; Estimation; Remote sensing; Atmospheric correction; Geology; Oceanography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00168628,0.0006700979,0.0003704048,0.0008753847,0.0002811578,0.0006126217,0.0004548671,0.0003718001,0.0004540363],"category_scores_gemma":[0.002963949,0.0002197941,0.0005096209,0.0007898012,0.0001859552,0.000491126,0.0002622991,0.0003457,0.0001675986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003488653,"about_ca_system_score_gemma":0.0005398063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087569,"about_ca_topic_score_gemma":0.01683429,"domain_scores_codex":[0.9993135,0.0001326239,0.00005092324,0.0001247741,0.0003376551,0.00004069771],"domain_scores_gemma":[0.9986705,0.0004875146,0.0001372397,0.00006724818,0.0006081645,0.00002939018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001536069,0.0006696165,0.09337525,0.0007552112,0.0005136079,0.0002317471,0.000334675,0.0751242,0.3585801,0.0005043184,0.0007135744,0.4676617],"study_design_scores_gemma":[0.0001261327,0.001169172,0.12977,0.00004869074,0.0003771261,0.0001960491,0.0003156822,0.5220608,0.3418629,0.0002011232,0.003761356,0.0001109924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9162948,0.0007818148,0.08029569,0.00007283855,0.00007401241,0.0001341205,0.0003685369,0.0006037034,0.001374482],"genre_scores_gemma":[0.8047602,0.0005556199,0.1926997,0.00002770692,0.00001870235,0.0001024804,0.0007761231,0.00008972269,0.0009697885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01087569,"threshold_uncertainty_score":0.0216248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149064917220087,"score_gpt":0.4323282407769793,"score_spread":0.3174217490549706,"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."}}