{"id":"W2060854277","doi":"10.1016/j.atmosenv.2014.05.071","title":"Quantification of soil respiration in forest ecosystems across China","year":2014,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"Zhejiang A and F University; National Natural Science Foundation of China","keywords":"Evergreen; Q10; Deciduous; Environmental science; Forest ecology; Ecosystem; Evapotranspiration; Soil respiration; Ecology; Forestry; Agroforestry; Geography; Biology; Respiration; Botany","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":[0.0003844172,0.0001021425,0.000129613,0.000002201337,0.00004959692,0.00001104144,0.0001314366,0.00006536395,0.0002087453],"category_scores_gemma":[0.000009190751,0.00009525091,0.00003475265,0.0001082466,0.0000714325,0.0001188216,0.00007236197,0.00006697211,0.0002083404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001566238,"about_ca_system_score_gemma":0.00000203486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001270437,"about_ca_topic_score_gemma":0.001544476,"domain_scores_codex":[0.9989721,0.00006632768,0.0003174241,0.0002386398,0.0002224433,0.0001830857],"domain_scores_gemma":[0.9994991,0.00001907622,0.0001432131,0.0002985033,9.385072e-7,0.00003917635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000005396038,0.00005923231,0.396028,0.00000451928,0.000002053843,4.126379e-7,0.0002000321,0.5980968,0.002298817,0.0001686833,0.00001599895,0.003120062],"study_design_scores_gemma":[0.0001906406,0.00004707019,0.5043036,0.000007768217,0.000003310071,0.000001447948,0.00001288471,0.4911286,0.0001969364,0.0003053781,0.003711437,0.00009092343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974797,0.00001632697,0.02272977,0.00007297067,0.00005621429,0.0001676403,0.000004764324,0.00001203145,0.002143318],"genre_scores_gemma":[0.9979439,0.00003968053,0.00151454,0.00001952012,0.0000118522,0.0000281123,0.00002904565,0.00001094077,0.0004023481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1082757,"threshold_uncertainty_score":0.3884219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005807757065783249,"score_gpt":0.1946176758806196,"score_spread":0.1888099188148364,"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."}}