{"id":"W4409432264","doi":"10.3390/f16040678","title":"Spatial Heterogeneity of Soil Respiration and Its Relationship with the Spatial Distribution of the Forest Ecosystem at the Fine Scale","year":2025,"lang":"en","type":"article","venue":"Forests","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Key Research and Development Program of Zhejiang Province; Chinese Academy of Forestry; National Natural Science Foundation of China","keywords":"Spatial distribution; Spatial ecology; Ecosystem; Environmental science; Spatial heterogeneity; Scale (ratio); Ecology; Soil respiration; Forest ecology; Spatial variability; Geography; Remote sensing; Biology; Cartography","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":[0.0002223222,0.00006841002,0.00008523786,0.00000380712,0.0002625487,0.00001389059,0.000143106,0.0000532344,0.000004811921],"category_scores_gemma":[0.00006976361,0.00001674988,0.00005264276,0.0001974247,0.00008797463,0.00002813418,0.00008747668,0.0000636695,7.594126e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002238484,"about_ca_system_score_gemma":0.00001227611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062386,"about_ca_topic_score_gemma":0.7200856,"domain_scores_codex":[0.9993796,0.000119545,0.000149649,0.0001077523,0.0001559703,0.00008752764],"domain_scores_gemma":[0.9994888,0.0002052066,0.0001306617,0.00008314211,0.00007693501,0.00001529303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008940984,0.00001561873,0.9952048,0.00001360284,0.000008950647,8.510448e-8,0.00002773373,0.0003260426,0.001724046,0.0009064644,0.00007064705,0.001612581],"study_design_scores_gemma":[0.0001185159,0.00009002099,0.9820398,0.00002831212,0.00002373136,0.000001917285,0.00001689856,0.009356352,0.007916361,0.0002131542,0.0001603847,0.00003454848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978082,0.0001076176,0.00004084934,0.001501828,0.00006151562,0.0002717546,0.0001334194,0.000007337903,0.00006752533],"genre_scores_gemma":[0.9997705,0.000002917876,7.009693e-7,0.00002532571,0.00004269335,0.00001504796,0.00006282065,5.240807e-7,0.00007951713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7190232,"threshold_uncertainty_score":0.2850221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281979595130986,"score_gpt":0.2129998409341342,"score_spread":0.2001800449828244,"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."}}