{"id":"W2030071464","doi":"10.1109/tgrs.2013.2245671","title":"Nonlinear Response in a Field Portable Spectroradiometer: Characterization and Effects on Output Reflectance","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Spectroradiometer; Nonlinear system; Remote sensing; Environmental science; Reflectivity; Estimator; Dynamic range; Atmospheric correction; Range (aeronautics); Field (mathematics); Calibration; Characterization (materials science); Computer science; Optics; Physics; Mathematics; Materials science; Statistics; Geology","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":[0.000907746,0.0006101171,0.0003280972,0.0003053635,0.000329587,0.000366143,0.0006354368,0.0006379295,0.001304471],"category_scores_gemma":[0.001645242,0.0002289793,0.0002929232,0.0005898597,0.0003718058,0.0004077886,0.0002706597,0.0005160344,0.0005736869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004747586,"about_ca_system_score_gemma":0.0002761548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549231,"about_ca_topic_score_gemma":0.001976317,"domain_scores_codex":[0.9990394,0.0001607681,0.0000275642,0.0002758191,0.0004410608,0.0000555581],"domain_scores_gemma":[0.9985653,0.0005921557,0.0001667399,0.0002649081,0.000372754,0.00003824372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001627857,0.00008602246,0.003927981,0.0000906157,0.00001531487,0.00007174543,0.00008962998,0.0009965494,0.9764157,0.00005485365,0.0001399622,0.01794873],"study_design_scores_gemma":[0.0000129095,0.0006721306,0.01743771,0.000007903124,0.00003251539,0.0004199946,0.00005861753,0.01507858,0.9641964,0.00008865183,0.001966405,0.00002813592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.920236,0.0003738735,0.07617527,0.0001383989,0.00004513826,0.0001015982,0.0003259816,0.0008666042,0.001737093],"genre_scores_gemma":[0.9470803,0.000295259,0.04935677,0.000114505,0.00002686248,0.0001032822,0.0003655563,0.0001998526,0.00245776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001549231,"threshold_uncertainty_score":0.004800677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006427505464781337,"score_gpt":0.2139504852104219,"score_spread":0.2075229797456406,"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."}}