{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005129006,0.00009317956,0.0001949003,0.0002578116,0.0001288784,0.00002588968,0.0001070285,0.00009967303,0.00001396926],"category_scores_gemma":[0.00007675203,0.00008044419,0.00002697737,0.0003954897,0.0001483645,0.0002707394,0.00001044606,0.00008588182,8.553902e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007218374,"about_ca_system_score_gemma":0.0001016928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007513554,"about_ca_topic_score_gemma":0.3670452,"domain_scores_codex":[0.9990775,0.0001523352,0.0001979609,0.000207587,0.0001601656,0.0002044421],"domain_scores_gemma":[0.9996108,0.0001382161,0.00007942789,0.0001013653,0.00002021573,0.00004992427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001783442,0.00004917818,0.953488,0.000009336231,0.00002177842,0.000003655066,0.007153201,0.001209587,0.00003678689,0.0365985,0.000004028732,0.001408141],"study_design_scores_gemma":[0.0001492055,0.0001098568,0.9911864,0.00001672527,0.00003825928,6.080779e-7,0.002881789,0.003678005,0.0003366571,0.001366264,0.0001090927,0.0001271688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784837,0.00003298171,0.00005066091,0.0006666185,0.00004137776,0.0001716318,0.000005170481,0.00003505742,0.02051277],"genre_scores_gemma":[0.998254,0.0003327182,0.001100705,0.00005384419,0.00006929025,0.000007110384,0.00002455601,0.000004209275,0.000153573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3595317,"threshold_uncertainty_score":0.9990955,"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."}}