{"id":"W2041894266","doi":"10.5194/bg-11-5987-2014","title":"Biophsyical constraints on gross primary production by the terrestrial biosphere","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Canadian Foundation for Climate and Atmospheric Sciences; Biological and Environmental Research; Oak Ridge National Laboratory; Australian Research Council; Natural Sciences and Engineering Research Council of Canada; National Science Foundation; Imperial College London; Microsoft Research; Natural Resources Canada; Université Laval; U.S. Department of Energy","keywords":"Primary production; Biosphere; Environmental science; Photosynthetically active radiation; Atmospheric sciences; Terrestrial ecosystem; Carbon cycle; Biosphere model; Climatology; Temperate climate; Water cycle; Boreal; Vegetation (pathology); Ecosystem; Photosynthesis; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003060472,0.0003592109,0.0002699199,0.0002064975,0.0002554257,0.0008391556,0.00027594,0.0003423608,0.003628468],"category_scores_gemma":[0.001091253,0.0001565814,0.0002722299,0.0001919616,0.0006591703,0.0007857026,0.0004925928,0.0005007777,0.0004878676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007722574,"about_ca_system_score_gemma":0.000556733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002844033,"about_ca_topic_score_gemma":0.00277445,"domain_scores_codex":[0.9998795,0.00003142835,0.000005054812,0.00002628492,0.00003807846,0.00001971934],"domain_scores_gemma":[0.9996437,0.0002047029,0.00003905457,0.00003874329,0.00004450943,0.00002923931],"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":[0.00007947018,0.00006220707,0.01303699,0.0001729872,0.00006724438,0.0002897089,0.0000784607,0.6626706,0.02878563,0.2711707,0.002319717,0.02126637],"study_design_scores_gemma":[0.00002903219,0.0000478848,0.02267659,0.00003615683,0.00002014379,0.0001415948,0.00005730131,0.7045227,0.00353215,0.2622328,0.006677213,0.00002645444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7481548,0.002361587,0.1720214,0.003281825,0.0001444854,0.00002646206,0.001571657,0.0003001158,0.07213765],"genre_scores_gemma":[0.9948189,0.0003605206,0.002850876,0.00007290135,0.00002633469,0.00001793552,0.0001726471,0.00002601657,0.001654014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003628468,"threshold_uncertainty_score":0.01213843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008336771181631,"score_gpt":0.1985702518765703,"score_spread":0.1902334806949393,"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."}}