{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001602051,0.000134165,0.0002836099,0.00003291303,0.00004386402,0.000006610163,0.00006238728,0.00007295521,0.00000611079],"category_scores_gemma":[0.000006680715,0.0001205239,0.00003487808,0.00007489101,0.0002367972,0.00007826984,0.0001005315,0.00009259363,0.000002637543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001508099,"about_ca_system_score_gemma":0.000005106922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004730948,"about_ca_topic_score_gemma":0.0001197871,"domain_scores_codex":[0.9988661,0.00004984193,0.0003883478,0.0002959199,0.0002270785,0.0001727541],"domain_scores_gemma":[0.9995281,0.00002690585,0.0001972979,0.0002155587,0.000002844123,0.00002933481],"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":[0.00007193022,0.0001097576,0.0128588,0.0000220927,0.000004403085,0.000003376993,0.00009730461,0.8133625,0.1672222,0.00001011773,0.000008178994,0.00622937],"study_design_scores_gemma":[0.0004122023,0.00008257334,0.199446,0.0000530053,0.00001479911,0.000009537182,0.00001058313,0.795854,0.002669189,0.001207968,0.0001049547,0.0001351928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788769,0.00009285986,0.02027864,0.00004458398,0.0000380727,0.0002537906,0.000007150999,0.000008639481,0.0003993206],"genre_scores_gemma":[0.9668317,0.00009864946,0.03292013,0.000006289392,0.00001573358,2.256712e-7,0.00002265298,0.000008800784,0.00009575527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1865872,"threshold_uncertainty_score":0.4914823,"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."}}