{"id":"W3211369819","doi":"10.3390/rs13224638","title":"Optical Remote Sensing Indexes of Soil Moisture: Evaluation and Improvement Based on Aircraft Experiment Observations","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; European Space Agency; National Aeronautics and Space Administration","keywords":"Environmental science; Remote sensing; Shortwave; Multispectral image; Water content; Downscaling; Microwave; Normalized Difference Vegetation Index; Moisture; Vegetation (pathology); Meteorology; Radiative transfer; Climate change; Precipitation; Computer science; Geology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000586721,0.0002708508,0.0003153312,0.00007056978,0.0002523304,0.00006117058,0.00005971383,0.0001649843,0.00001681687],"category_scores_gemma":[0.0003168205,0.0002599449,0.0001095532,0.0003720876,0.0002051706,0.00009434732,0.0001440877,0.0002431136,0.00001109089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003751502,"about_ca_system_score_gemma":0.00009160335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001384753,"about_ca_topic_score_gemma":0.001260856,"domain_scores_codex":[0.997462,0.0001796754,0.0004500707,0.0006172202,0.0009263251,0.0003646612],"domain_scores_gemma":[0.9988566,0.0001808038,0.0001726384,0.0005309989,0.000114175,0.0001447589],"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":[0.00002207431,0.00002296601,0.0001061154,0.00001581515,0.0000174817,0.00003494537,0.0003197646,0.01171543,0.3765849,0.000003912557,0.00006951262,0.6110871],"study_design_scores_gemma":[0.0006148582,0.00008306193,0.01297035,0.000211988,0.00008130277,0.00004542416,0.000235196,0.7201889,0.2645797,0.0005111151,0.0002284425,0.0002496198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507025,0.0001305297,0.03738821,0.001858401,0.0003502698,0.0003414631,9.360779e-7,0.00005672591,0.009170964],"genre_scores_gemma":[0.879497,0.00001716431,0.1192015,0.001044571,0.0001036985,5.193972e-9,0.00001803686,0.00003217588,0.00008579954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7084734,"threshold_uncertainty_score":0.9999853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0246379084526103,"score_gpt":0.2644813768672321,"score_spread":0.2398434684146218,"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."}}