{"id":"W4393299501","doi":"10.1016/j.earscirev.2024.104758","title":"Quantification and uncertainty of global upland soil methane sinks: Processes, controls, model limitations, and improvements","year":2024,"lang":"en","type":"article","venue":"Earth-Science Reviews","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Environmental science; Methane; Soil science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01577881,0.002018965,0.001658104,0.001441773,0.0004355724,0.003346932,0.002591195,0.001558969,0.001039366],"category_scores_gemma":[0.02844264,0.000819075,0.001385083,0.001563048,0.002455102,0.007968988,0.002192971,0.002507648,0.0001997891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002961054,"about_ca_system_score_gemma":0.003106622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01460281,"about_ca_topic_score_gemma":0.008039379,"domain_scores_codex":[0.997659,0.0008604725,0.0001462113,0.0006345258,0.0005955935,0.0001042959],"domain_scores_gemma":[0.9805872,0.01503666,0.001145666,0.001572711,0.001505455,0.0001522288],"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":[0.0002881088,0.00006219991,0.01257469,0.002581319,0.0009635154,0.00004592133,0.0001661332,0.7260751,0.003951108,0.1207265,0.003323771,0.1292416],"study_design_scores_gemma":[0.00004840048,0.0000787996,0.008379475,0.0008016218,0.0002520541,0.00006610863,0.0001388168,0.6498499,0.005513894,0.3190351,0.01567844,0.0001574465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1805505,0.1771339,0.5899028,0.0296146,0.001414758,0.00009776439,0.006929513,0.001844374,0.01251171],"genre_scores_gemma":[0.8793243,0.0674883,0.0477346,0.001137417,0.0007965497,0.0001360518,0.002246348,0.0002967662,0.0008395921],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01577881,"threshold_uncertainty_score":0.08344734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539621337670624,"score_gpt":0.2658968454269761,"score_spread":0.2405006320502698,"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."}}