{"id":"W2384451821","doi":"","title":"An analysis on advantages and disadvantages of developing forest carbon sequestration projects in China","year":2005,"lang":"en","type":"article","venue":"","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Reforestation; Afforestation; China; Clean Development Mechanism; Sustainable development; Carbon sequestration; Business; Natural resource economics; Global warming; Order (exchange); Developing country; Greenhouse gas; Kyoto Protocol; Forest management; Environmental protection; Environmental planning; Environmental resource management; Climate change; Environmental science; Economic growth; Economics; Agroforestry; Political science; Ecology; Carbon dioxide; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001369343,0.0001958345,0.0001661598,0.002269185,0.0006483587,0.0009797781,0.0002755698,0.0002611938,0.001651197],"category_scores_gemma":[0.001553491,0.00008783246,0.0004488935,0.002511434,0.0003232096,0.0005952629,0.0005260051,0.0001941406,0.00007601175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002564862,"about_ca_system_score_gemma":0.0025657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02739596,"about_ca_topic_score_gemma":0.044892,"domain_scores_codex":[0.9990537,0.000187104,0.00007080614,0.00005803352,0.0003534838,0.0002769066],"domain_scores_gemma":[0.9985377,0.0003060167,0.0003457095,0.00005428949,0.000510093,0.0002463072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003340776,0.00009080988,0.9073398,0.0001709009,0.0001343972,0.001303164,0.001126184,0.01057842,0.002527222,0.01456171,0.00101668,0.06081663],"study_design_scores_gemma":[0.00001575108,0.0001367945,0.9852459,0.00003110843,0.0000856795,0.0001652046,0.001519384,0.006637328,0.0006774727,0.001408401,0.004062559,0.00001435905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913473,0.0002770548,0.0001696562,0.0002030976,0.000002802166,0.00001989452,0.0001313915,0.000003089611,0.007845826],"genre_scores_gemma":[0.9986311,0.0002749677,0.0001289271,0.00002284911,0.000004126325,0.000009101898,0.0001121802,0.000001285301,0.0008154604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02739596,"threshold_uncertainty_score":0.05447298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494284121368382,"score_gpt":0.3298100760506705,"score_spread":0.3148672348369866,"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."}}