{"id":"W4392059702","doi":"10.1029/2023ef004007","title":"30 m Resolution Global Maps of Forest Soil Respiration and Its Changes From 2000 to 2020","year":2024,"lang":"en","type":"article","venue":"Earth s Future","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Asia-Pacific Network for Sustainable Forest Management and Rehabilitation","keywords":"Soil respiration; Respiration; Environmental science; Resolution (logic); Soil science; Forestry; Physical geography; Hydrology (agriculture); Geography; Geology; Computer science; Biology; Soil water; Botany; Geotechnical engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000653495,0.00006261217,0.00005982161,0.00001155318,0.00005791857,0.00002842437,0.00004752005,0.00005869074,0.0001905489],"category_scores_gemma":[0.000007991678,0.00005543976,0.00001575115,0.0002163045,0.0000232575,0.00005298889,0.00003972208,0.00005566642,0.0004043575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000302768,"about_ca_system_score_gemma":0.000009123546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004066552,"about_ca_topic_score_gemma":0.003758488,"domain_scores_codex":[0.9994671,0.00001989957,0.00007615174,0.0002066439,0.0001352415,0.00009491594],"domain_scores_gemma":[0.9997863,0.000009992656,0.00001778406,0.0001211831,0.000005199821,0.00005954006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008743778,0.00006651771,0.00979958,0.00006161432,0.00003997572,0.00002059175,0.005920245,0.006997276,0.08604924,0.002684985,0.3024,0.5858725],"study_design_scores_gemma":[0.000101392,0.00008491427,0.2746827,0.00005341682,0.00001734811,0.000005455358,0.000119953,0.00654928,0.00240194,0.001327459,0.7145194,0.0001366846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840065,0.001343738,0.000367418,0.007686835,0.0002383426,0.0001775822,0.0001631968,0.00005319823,0.005963235],"genre_scores_gemma":[0.9970657,0.00007280973,0.001269838,0.0002476007,0.000540212,0.000002006708,0.00004734324,0.000006361815,0.000748127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5857359,"threshold_uncertainty_score":0.5197333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007682196847163221,"score_gpt":0.2210500067430785,"score_spread":0.2133678098959152,"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."}}