{"id":"W2954228602","doi":"10.1139/cjss-2018-0104","title":"Characteristics of CO<sub>2</sub>, water vapor, and energy exchanges at a headwater wetland ecosystem of the Qinghai Lake","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; Recruitment Program of Global Experts; Chinese Academy of Sciences; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Ecosystem respiration; Evapotranspiration; Wetland; Ecosystem; Environmental science; Latent heat; Primary production; Bowen ratio; Hydrology (agriculture); Atmospheric sciences; Precipitation; Plateau (mathematics); Carbon dioxide; Animal science; Ecology; Geography; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002317264,0.0001905781,0.0001700307,0.0004772229,0.0004409298,0.0004574088,0.0001583979,0.0001894654,0.0003861175],"category_scores_gemma":[0.0001555571,0.0001529533,0.0001997722,0.0004841102,0.0003011298,0.000420658,0.00022147,0.0001120251,0.00004229429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005746541,"about_ca_system_score_gemma":0.0002831981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03030096,"about_ca_topic_score_gemma":0.04166088,"domain_scores_codex":[0.9999278,0.00001254149,0.000005415257,0.00001986941,0.00001108777,0.00002337644],"domain_scores_gemma":[0.9998579,0.00001861151,0.00005082364,0.000007830266,0.00002520669,0.00003975066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001337678,0.00003999274,0.9441169,0.00004381624,0.0001337468,0.000329724,0.0008828236,0.001683163,0.04653029,0.0001027852,0.0001689392,0.005834042],"study_design_scores_gemma":[0.000001186902,0.000009137507,0.9988056,6.775111e-7,0.000006601345,0.00001743976,0.0000925347,0.0008472731,0.0001561174,0.000009489361,0.00005060029,0.000003249176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999765,0.00001909879,0.00006248086,0.000006529633,4.604493e-7,0.000001280545,0.00006669676,0.000002986765,0.00007543066],"genre_scores_gemma":[0.9997078,0.00001493637,0.00006277801,0.000006547866,0.00000232178,0.000003104571,0.0001336749,0.000001512661,0.00006745201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03030096,"threshold_uncertainty_score":0.06024921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005594605699525926,"score_gpt":0.1750352247746156,"score_spread":0.1694406190750896,"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."}}