{"id":"W3038027092","doi":"10.1111/geb.13158","title":"Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness","year":2020,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Natural Environment Research Council; U.S. Forest Service; Agence Nationale Des Parcs Nationaux; University of Stirling; Smithsonian Tropical Research Institute; National Geographic Society; NASA Headquarters; Empresa Brasileira de Pesquisa Agropecuária; National Science Foundation; European Space Agency; HSBC Bank USA; McGill University; Nuclear Safety and Security Commission; Gordon and Betty Moore Foundation; United States Agency for International Development; Smithsonian Institution; U.S. Department of State; Universität Zürich; National Aeronautics and Space Administration","keywords":"Species richness; Ecology; Geography; Canopy; Tropics; Biodiversity; Lidar; Spatial ecology; Physical geography; Biology; Remote sensing","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":[0.002369785,0.000376899,0.0002234472,0.0005644839,0.0001721822,0.0007741665,0.0005609385,0.0003305697,0.0007680656],"category_scores_gemma":[0.005147468,0.0002696056,0.0004413211,0.000667917,0.0001397738,0.001205006,0.000581124,0.000254306,0.0001026734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002651398,"about_ca_system_score_gemma":0.0002627316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00672155,"about_ca_topic_score_gemma":0.01094304,"domain_scores_codex":[0.9994801,0.0003046322,0.00002187586,0.00007154714,0.00008267429,0.00003918893],"domain_scores_gemma":[0.9970728,0.001949564,0.0002211567,0.0001896384,0.0004510765,0.0001157365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005680098,0.0001774208,0.7117232,0.0003103137,0.0005985452,0.0002057641,0.0004057591,0.1348111,0.03226819,0.0005774815,0.0004841185,0.1178702],"study_design_scores_gemma":[0.00004145612,0.0004069333,0.3648679,0.00007030503,0.000222687,0.0002516925,0.0006557461,0.6273237,0.004636665,0.0007506882,0.0007158377,0.00005635243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904457,0.0002103178,0.008178466,0.0001255066,0.000007237024,0.00001189008,0.000321273,0.00005195062,0.0006476493],"genre_scores_gemma":[0.993856,0.00005885324,0.00578517,0.00001529563,0.000005055699,0.000007287355,0.000199483,0.000005931854,0.0000669552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00672155,"threshold_uncertainty_score":0.01336485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026975437314014,"score_gpt":0.2586823628475655,"score_spread":0.2384126084744254,"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."}}