{"id":"W2094451874","doi":"10.1016/j.rse.2006.09.010","title":"Comparison of MODIS, eddy covariance determined and physiologically modelled gross primary production (GPP) in a Douglas-fir forest stand","year":2006,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":122,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of British Columbia","funders":"","keywords":"Eddy covariance; Primary production; Environmental science; Photosynthetically active radiation; Moderate-resolution imaging spectroradiometer; Atmospheric sciences; Ecosystem respiration; Canopy; Evergreen; Terrestrial ecosystem; Temperate forest; Vegetation (pathology); Carbon cycle; Remote sensing; Climatology; Ecosystem; Satellite; Ecology; Geology; Photosynthesis","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":[0.0003725082,0.0001906913,0.0001840627,0.0002029453,0.000314077,0.0004579823,0.0002885828,0.0004726902,0.0005271806],"category_scores_gemma":[0.0008290507,0.0001627993,0.0002093966,0.0001938527,0.0002341622,0.0003229487,0.0001534636,0.0001669631,0.000130833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008309797,"about_ca_system_score_gemma":0.000413978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03427655,"about_ca_topic_score_gemma":0.06020211,"domain_scores_codex":[0.9999183,0.00001299721,0.00000697858,0.00003041782,0.00001702427,0.00001416353],"domain_scores_gemma":[0.9995559,0.0001905364,0.00003160631,0.00002518241,0.000138272,0.00005855666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004535538,0.0008959129,0.7464715,0.000167558,0.0002824958,0.0008857683,0.0006839898,0.04852571,0.1760073,0.001046454,0.001274769,0.01922322],"study_design_scores_gemma":[0.00004192854,0.0001413098,0.9551248,0.000004046437,0.00004246447,0.0001256002,0.0001572114,0.03990701,0.004088588,0.0001179131,0.0002376175,0.00001150049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995416,0.00001677369,0.00008530221,0.000009871952,0.000002250875,0.000001185109,0.0001395888,0.000007484317,0.0001960416],"genre_scores_gemma":[0.9994776,0.000009899187,0.0001459801,0.000005864056,0.000001361752,0.000001481088,0.0002181615,0.000002647708,0.000137096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03427655,"threshold_uncertainty_score":0.06815404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127151787568145,"score_gpt":0.2145509028082195,"score_spread":0.203279384932538,"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."}}