{"id":"W2064831011","doi":"10.1080/01431160903518057","title":"Comparison of surface reflectance derived by relative radiometric normalization versus atmospheric correction for generating large-scale Landsat mosaics","year":2010,"lang":"en","type":"article","venue":"Remote Sensing Letters","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Thematic Mapper; Remote sensing; Radiance; Atmospheric correction; Normalization (sociology); Radiometry; Environmental science; Radiometric dating; Reflectivity; Scale (ratio); Bidirectional reflectance distribution function; Optics; Geology; Satellite imagery; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003087284,0.0002286901,0.0003108942,0.00002115214,0.0003127864,0.00004241105,0.0001211686,0.0001872455,0.00001736107],"category_scores_gemma":[0.0003010756,0.0002167826,0.00009456519,0.001075653,0.0001261289,0.0002184947,0.00004949843,0.0003567621,0.00002010182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002642381,"about_ca_system_score_gemma":0.000008934789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002851763,"about_ca_topic_score_gemma":0.0006047614,"domain_scores_codex":[0.9983121,0.0001074053,0.0003814391,0.0004417389,0.0003709477,0.0003864175],"domain_scores_gemma":[0.9988897,0.0002881765,0.0004064343,0.0002814546,0.00005235424,0.00008181293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006466972,0.00001998028,0.001661451,0.000008681983,0.00001826879,9.536949e-7,0.0009395296,0.06441117,0.9053487,3.936814e-7,0.01560483,0.0119214],"study_design_scores_gemma":[0.0007227029,0.00006096007,0.001364258,0.00002431632,0.00004137642,0.00001292678,0.0001316267,0.8674064,0.126187,0.000003162023,0.003794098,0.0002511603],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6958588,0.00002380616,0.3016565,0.000251497,0.001509552,0.0002426516,0.000003772864,0.0000628592,0.0003905432],"genre_scores_gemma":[0.6664124,0.000008675001,0.3329261,0.0002087496,0.0001116862,4.663634e-8,0.00007858514,0.00003446394,0.00021933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8029953,"threshold_uncertainty_score":0.8840137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149151687065004,"score_gpt":0.2636374654154177,"score_spread":0.2521459485447676,"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."}}