{"id":"W4244476932","doi":"10.4095/219686","title":"Radiative Transfer Codes Applied to Hyperspectral Data for the Retrieval of Surface Reflectance","year":2000,"lang":"en","type":"report","venue":"","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Hyperspectral imaging; Radiative transfer; Reflectivity; Remote sensing; Environmental science; Atmospheric radiative transfer codes; Surface (topology); Geography; Optics; Physics; Mathematics; Geometry","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":[0.001010555,0.00095025,0.0003778444,0.0007490134,0.0004436141,0.0007425447,0.001155502,0.0005961336,0.004838647],"category_scores_gemma":[0.004309494,0.0002992384,0.0006093723,0.001055325,0.0003268232,0.001124111,0.0007365619,0.001114771,0.003280545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006010658,"about_ca_system_score_gemma":0.001020772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006091271,"about_ca_topic_score_gemma":0.004835443,"domain_scores_codex":[0.9995193,0.0001400811,0.0000321137,0.00005225539,0.0002209662,0.00003520057],"domain_scores_gemma":[0.9982973,0.0007347725,0.0001313731,0.0003006721,0.0004994028,0.00003661283],"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":[0.0005053723,0.0002611193,0.006282733,0.0004029481,0.0002481366,0.0003613326,0.0004700237,0.4274424,0.07978956,0.02293383,0.01529455,0.446008],"study_design_scores_gemma":[0.0000212904,0.00001827925,0.0004822506,0.0000113888,0.00000698003,0.0000387047,0.00002636855,0.9752324,0.01862073,0.00228243,0.003244696,0.00001439324],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0577507,0.0002779027,0.9172364,0.0001572791,0.00009926431,0.0001993711,0.0008636946,0.01757922,0.005836086],"genre_scores_gemma":[0.2459452,0.0003503996,0.7435948,0.00009095814,0.00004138325,0.0006121023,0.001812659,0.001975871,0.005576655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006091271,"threshold_uncertainty_score":0.01618689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1521389609804028,"score_gpt":0.3563451559378892,"score_spread":0.2042061949574864,"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."}}