{"id":"W2338049369","doi":"10.1175/1520-0477(2001)082<2415:fantts>2.3.co;2","title":"FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem–Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities","year":2001,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":3960,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; European Commission; Ministry of Agriculture, Forestry and Fisheries; U.S. Department of Agriculture; National Aeronautics and Space Administration; Smithsonian Institution; National Science Foundation","keywords":"FluxNet; Environmental science; Biosphere; Carbon cycle; Atmospheric sciences; Eddy covariance; Ecosystem; Ecology; Geology","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":[0.002756402,0.002037504,0.001339983,0.005324722,0.0007852381,0.002042998,0.0017906,0.0007620324,0.01225038],"category_scores_gemma":[0.006379235,0.00088399,0.00122081,0.005381055,0.0003808159,0.005258395,0.001658231,0.001493535,0.003893169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009528578,"about_ca_system_score_gemma":0.001514285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372256,"about_ca_topic_score_gemma":0.01158749,"domain_scores_codex":[0.998841,0.000194447,0.0001530978,0.0003451712,0.0003700497,0.00009618802],"domain_scores_gemma":[0.9975564,0.001132645,0.0003395784,0.0004304918,0.0003512285,0.0001894524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001214786,0.000689287,0.06204057,0.001656257,0.001107283,0.000959426,0.001280902,0.09276735,0.01299005,0.03690054,0.5850666,0.203327],"study_design_scores_gemma":[0.0003509455,0.0001587893,0.02448126,0.0002874889,0.0001987357,0.0006032676,0.0003715979,0.4122935,0.01109537,0.04225729,0.5076389,0.000262825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0336066,0.0008087531,0.3833767,0.0006299071,0.0006679232,0.0004274761,0.3498414,0.2140759,0.01656535],"genre_scores_gemma":[0.1207557,0.001094423,0.2789253,0.000528824,0.000309898,0.00179054,0.5698836,0.01972763,0.00698412],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01372256,"threshold_uncertainty_score":0.04098153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005506949675650962,"score_gpt":0.1879694846707499,"score_spread":0.182462534995099,"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."}}