{"id":"W2026455539","doi":"10.1029/2004jd004741","title":"Surface bidirectional reflectance and albedo properties derived using a land cover–based approach with Moderate Resolution Imaging Spectroradiometer observations","year":2005,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; EcoSynthetix (Canada)","funders":"U.S. Environmental Protection Agency","keywords":"Bidirectional reflectance distribution function; Spectroradiometer; Moderate-resolution imaging spectroradiometer; Remote sensing; Albedo (alchemy); Normalized Difference Vegetation Index; Environmental science; Land cover; Atmospheric correction; Pixel; Leaf area index; Reflectivity; Satellite; Geology; Optics; Physics; Land use","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":[0.0003416909,0.0005200789,0.0002982603,0.001137921,0.0001892901,0.0003651235,0.000303971,0.0002417596,0.0007022875],"category_scores_gemma":[0.0005607636,0.0001568739,0.0006461968,0.001314452,0.0001031843,0.0003378628,0.0003240445,0.0002132423,0.0005985452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002740031,"about_ca_system_score_gemma":0.0004043924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01289578,"about_ca_topic_score_gemma":0.02401247,"domain_scores_codex":[0.9997348,0.00003722676,0.000011696,0.00006379054,0.0001311978,0.00002128611],"domain_scores_gemma":[0.9998611,0.00001422211,0.00002334912,0.0000263173,0.00006919332,0.000005726398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003238138,0.0004979254,0.2330433,0.0004223352,0.0005746241,0.0003427623,0.000280544,0.1491863,0.1909603,0.001332833,0.002811842,0.4202235],"study_design_scores_gemma":[0.00002863025,0.00008701014,0.3791965,0.0000194134,0.0001296912,0.0001801065,0.0001837569,0.5892379,0.02493629,0.0006839359,0.005246035,0.00007078167],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8542475,0.0003118176,0.1361023,0.00005189026,0.00003686496,0.0001234116,0.002213304,0.001267468,0.00564545],"genre_scores_gemma":[0.9357769,0.0001795906,0.05809538,0.00001855698,0.00001165483,0.00007870371,0.004256917,0.0001153475,0.001466883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01289578,"threshold_uncertainty_score":0.02564138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05840072508563041,"score_gpt":0.2863253211231636,"score_spread":0.2279245960375332,"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."}}