{"id":"W4409208791","doi":"10.18280/ijsdp.200325","title":"Mapping Potential Carbon Stocks and CO₂ Emissions Due to Land Cover Change in the Wanggu Watershed","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Land cover; Environmental science; Carbon stock; Land use, land-use change and forestry; Greenhouse gas; Cover (algebra); Land use; Climate change; Carbon fibers; Hydrology (agriculture); Natural resource economics; Ecology; Geology; Economics; Engineering; Computer science; Civil engineering","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":[0.0001347294,0.0001702903,0.0001157397,0.001069026,0.0002289103,0.0005601854,0.0001662661,0.0002056528,0.0004520329],"category_scores_gemma":[0.0003183011,0.0001402849,0.0002596192,0.001832034,0.000219589,0.000479624,0.00037087,0.0001116697,0.00005612975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032044,"about_ca_system_score_gemma":0.0004930038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06422497,"about_ca_topic_score_gemma":0.07448551,"domain_scores_codex":[0.9999269,0.000009248547,0.000006379845,0.0000208792,0.00001343604,0.00002301163],"domain_scores_gemma":[0.9998974,0.00002426365,0.00002758669,0.000006254138,0.00002481224,0.00001976775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001844142,0.00007317757,0.9591733,0.00004302002,0.00008472869,0.0005411153,0.0007336946,0.01198134,0.008443486,0.0005203815,0.0002187403,0.01800253],"study_design_scores_gemma":[0.000004568551,0.00002908287,0.9829212,0.000006463109,0.00002643282,0.00005099385,0.00066386,0.01478689,0.0009928173,0.0001265309,0.0003805888,0.00001053208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993811,0.00001560787,0.00009216531,0.000006625045,4.442408e-7,0.00000227039,0.000154466,0.000004546835,0.0003427343],"genre_scores_gemma":[0.9993644,0.00003252261,0.0001757683,0.000001830347,5.952862e-7,0.000005792916,0.0002783758,0.000001208754,0.0001395301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06422497,"threshold_uncertainty_score":0.1277022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993292108228779,"score_gpt":0.2796011180898856,"score_spread":0.2596681970075979,"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."}}