{"id":"W2049698898","doi":"10.1016/j.rse.2007.02.004","title":"Comparison of MODIS gross primary production estimates for forests across the U.S.A. with those generated by a simple process model, 3-PGS","year":2007,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"U.S. Environmental Protection Agency; National Aeronautics and Space Administration","keywords":"Primary production; Environmental science; Soil water; Photosynthetically active radiation; Precipitation; Radiometer; Atmospheric sciences; Satellite; Climatology; Remote sensing; Meteorology; Ecosystem; Soil science; Geology; Geography; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003801773,0.0001601573,0.0002244905,0.00001568172,0.0001670525,0.00001249481,0.0001158564,0.00006576402,0.000002775668],"category_scores_gemma":[0.00001201074,0.0001110773,0.00004302563,0.0001022133,0.0003139706,0.00009631303,0.00006499232,0.00008806567,0.000001550455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401784,"about_ca_system_score_gemma":0.000008090498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001265633,"about_ca_topic_score_gemma":0.0001575599,"domain_scores_codex":[0.9987212,0.00001534721,0.0003408918,0.000288864,0.0003422005,0.0002915239],"domain_scores_gemma":[0.9993576,0.00004418738,0.0002576118,0.0002816172,0.00001045367,0.00004846651],"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":[0.0001205234,0.00009137802,0.008156603,0.0000341479,0.00002161337,6.462997e-7,0.001030085,0.8697821,0.1037671,0.00000233109,0.00006977886,0.01692371],"study_design_scores_gemma":[0.0002479923,0.0001032339,0.005764529,0.00002885643,0.00004139598,0.00001068568,0.00009415128,0.8929282,0.1000686,0.0004860843,0.00008658372,0.0001396138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7767344,0.00005301956,0.2225862,0.00005554052,0.00001681914,0.000417482,0.00003552769,0.00001282321,0.0000882058],"genre_scores_gemma":[0.9731331,0.00001462523,0.02660505,0.0000169069,0.00001078597,7.231625e-7,0.000108364,0.00002148915,0.00008898446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1963987,"threshold_uncertainty_score":0.45296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729286220784414,"score_gpt":0.2791940613834888,"score_spread":0.2619011991756447,"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."}}