{"id":"W2096477240","doi":"10.1111/nph.12697","title":"Evaluation of 11 terrestrial carbon–nitrogen cycle models against observations from two temperate <scp>F</scp>ree‐<scp>A</scp>ir <scp>CO</scp><sub>2</sub><scp> E</scp>nrichment studies","year":2014,"lang":"en","type":"article","venue":"New Phytologist","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":462,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Oak Ridge National Laboratory; National Center for Ecological Analysis and Synthesis; U.S. Department of Energy; Biological and Environmental Research; University of California, Santa Barbara; Office of Science; FP7 People: Marie-Curie Actions; National Science Foundation","keywords":"Ecosystem; Temperate climate; Carbon cycle; Environmental science; Nitrogen; Atmospheric sciences; Primary production; Carbon fibers; Terrestrial ecosystem; Biomass (ecology); Biogeochemical cycle; Temperate forest; Decomposition; Chemistry; Environmental chemistry; Ecology; Physics; Biology; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001790447,0.001157518,0.00132169,0.00007165926,0.0006719767,0.0001618116,0.001265966,0.0005371075,0.00001117169],"category_scores_gemma":[0.003034562,0.001125475,0.0004681198,0.0008059946,0.001446997,0.0008704005,0.0009393004,0.0006658232,0.0002214517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156248,"about_ca_system_score_gemma":0.0002066292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00304769,"about_ca_topic_score_gemma":0.001687402,"domain_scores_codex":[0.9916703,0.0008757306,0.001530196,0.001800332,0.002572158,0.001551329],"domain_scores_gemma":[0.9942509,0.002351361,0.001187505,0.001471816,0.0001012792,0.0006371342],"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":[0.000006942874,0.000602662,0.2739883,0.00003020562,0.0004567309,0.00001421259,0.003582863,0.6623135,0.04273158,0.0001236367,0.01131776,0.004831586],"study_design_scores_gemma":[0.009248701,0.0008847868,0.2219442,0.0001911367,0.001751487,0.00001888156,0.01473505,0.6466279,0.05901187,0.0296441,0.01549235,0.0004495162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815388,0.001334717,0.003315797,0.00010268,0.001030848,0.001546832,0.0001296947,0.0002731319,0.01072751],"genre_scores_gemma":[0.989654,0.00105835,0.006216339,0.0005897857,0.0007177612,0.0003072107,0.0003407531,0.0001545971,0.0009612072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05204409,"threshold_uncertainty_score":0.9991195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04360601010096917,"score_gpt":0.2691633874997193,"score_spread":0.2255573773987501,"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."}}