{"id":"W4205698403","doi":"10.1016/j.rse.2021.112845","title":"Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission","year":2022,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":435,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Australian Research Council; Natural Environment Research Council; Smithsonian Tropical Research Institute; Smithsonian Conservation Biology Institute; Direktoratet for Utviklingssamarbeid; South African National Parks; Centre National d’Etudes Spatiales; Sight Research UK; Organismo Autónomo de Parques Nacionales; Narodowy Fundusz Ochrony Środowiska i Gospodarki Wodnej; U.S. Forest Service; Agence Nationale de la Recherche; Battelle; Australian Government; Gordon and Betty Moore Foundation; United States Agency for International Development; Natural Sciences and Engineering Research Council of Canada; University of Maryland; Smithsonian Institution; U.S. Department of State; National Aeronautics and Space Administration; Empresa Brasileira de Pesquisa Agropecuária; National Science Foundation","keywords":"Remote sensing; Lidar; Environmental science; Biomass (ecology); Ecosystem; Geography; Ecology; Geology; Oceanography; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000840008,0.0006035756,0.0003784227,0.0006623414,0.0004669838,0.0006609947,0.001914949,0.0008714504,0.003939018],"category_scores_gemma":[0.002353874,0.0004063131,0.001237618,0.0009981133,0.0001911794,0.0009475031,0.0005841823,0.001281952,0.001378139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082869,"about_ca_system_score_gemma":0.0009899942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04860138,"about_ca_topic_score_gemma":0.04558783,"domain_scores_codex":[0.9998347,0.00004440684,0.000009432443,0.00004737951,0.00004008439,0.00002405284],"domain_scores_gemma":[0.9993498,0.0003189102,0.00006848081,0.00006518986,0.0001584043,0.00003917019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002938072,0.00007224386,0.01075169,0.00004183643,0.00006687502,0.00005248645,0.00005731924,0.9579233,0.0004972387,0.0100204,0.007364076,0.0131232],"study_design_scores_gemma":[0.000009733818,0.0000098746,0.001790629,0.00001225971,0.000009504146,0.00001401239,0.00002268431,0.9914096,0.0001419733,0.003486253,0.00308324,0.00001027965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4595887,0.001064174,0.463795,0.00176073,0.0002382325,0.0003154127,0.04377246,0.003830905,0.02563434],"genre_scores_gemma":[0.8239708,0.000699645,0.1281791,0.0003761463,0.00009192267,0.0008138727,0.03402588,0.000694983,0.01114754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04860138,"threshold_uncertainty_score":0.09663701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748460475649456,"score_gpt":0.2268124339578015,"score_spread":0.2093278292013069,"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."}}