{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003877114,0.00005716068,0.00007809828,0.000004753432,0.0001222511,0.00002636537,0.00004851629,0.00004047298,2.594947e-7],"category_scores_gemma":[0.0001168449,0.0000163895,0.00002633933,0.00002207764,0.00002615073,0.00003615173,0.0000240973,0.00002423549,5.350992e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000607791,"about_ca_system_score_gemma":0.00000339306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005679577,"about_ca_topic_score_gemma":0.001358874,"domain_scores_codex":[0.9995184,0.00003382697,0.0001414017,0.0001084082,0.00009033102,0.0001076388],"domain_scores_gemma":[0.9996104,0.0002687427,0.00005390359,0.00001966619,0.00001957915,0.00002773732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007092407,0.0000216254,0.08470687,0.00001473142,0.00003888802,5.105569e-7,0.0003591257,0.00005989099,0.6196484,0.0005422521,0.000006853452,0.2938916],"study_design_scores_gemma":[0.0007688633,0.0002417382,0.005308952,0.0001962112,0.00003761896,0.000004738311,0.0002252599,0.9770461,0.01323615,0.002650141,0.00008818638,0.0001960001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999131,0.0002155584,0.00002116753,0.000314884,0.0001081116,0.00009819132,0.00001420762,0.00001043324,0.00008648729],"genre_scores_gemma":[0.9996853,0.000116443,0.00001422009,0.00002442518,0.0001383874,0.00001040427,0.000004808494,5.808912e-7,0.000005424305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9769862,"threshold_uncertainty_score":0.09402692,"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."}}