{"id":"W2554403554","doi":"10.1007/s11104-016-3084-x","title":"The value of soil respiration measurements for interpreting and modeling terrestrial carbon cycling","year":2016,"lang":"en","type":"article","venue":"Plant and Soil","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":151,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"Pacific Northwest National Laboratory; Biological and Environmental Research; Directorate for Biological Sciences; Battelle; Office of Science; U.S. Department of Agriculture; Laboratory Directed Research and Development; U.S. Department of Energy; University of Chicago; National Science Foundation","keywords":"Environmental science; Carbon cycle; Soil respiration; Downscaling; Ecosystem respiration; Ecosystem; Benchmarking; Carbon flux; Tundra; Soil carbon; Scale (ratio); Range (aeronautics); Atmospheric sciences; Computer science; Eddy covariance; Climate change; Ecology; Geography; Soil science; Soil water; Biology; Engineering","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":[0.002087427,0.0008650602,0.00049496,0.0004085482,0.0003159004,0.001447663,0.0007219727,0.001440651,0.0004076805],"category_scores_gemma":[0.008095338,0.0004022687,0.0004111075,0.0005968357,0.000696154,0.002431893,0.0004291541,0.0009940114,0.0001998137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000618732,"about_ca_system_score_gemma":0.0004458736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004512294,"about_ca_topic_score_gemma":0.004493002,"domain_scores_codex":[0.999388,0.000287739,0.00003980814,0.0001544751,0.0001100242,0.00001988899],"domain_scores_gemma":[0.9936884,0.00492319,0.0003964777,0.0005920069,0.0003235105,0.00007647277],"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":[0.0006432089,0.000155205,0.115252,0.0008069255,0.0006400087,0.0002648079,0.0002080465,0.4990756,0.1646306,0.01773705,0.001224555,0.199362],"study_design_scores_gemma":[0.00003292515,0.00009041988,0.03014386,0.00005684216,0.0001503397,0.0001342767,0.00005857235,0.9129468,0.04024449,0.01261146,0.003449248,0.00008088328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.62282,0.01027526,0.3517771,0.001722501,0.0003201593,0.00006234819,0.001916443,0.001101958,0.01000415],"genre_scores_gemma":[0.9690626,0.001161057,0.029081,0.00007422481,0.0000671993,0.00002018951,0.0001884,0.00007146897,0.0002737291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004512294,"threshold_uncertainty_score":0.0110395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05362874049250115,"score_gpt":0.2414574707029203,"score_spread":0.1878287302104191,"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."}}