{"id":"W2347898720","doi":"","title":"Knowledge mapping of research on forest carbon sinks","year":2013,"lang":"en","type":"article","venue":"Journal of Zhejiang A & F University","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon sink; China; Carbon sequestration; Forest ecology; Forestry; Sink (geography); Forest management; Carbon cycle; Environmental science; Environmental resource management; Natural resource economics; Environmental protection; Political science; Ecosystem; Ecology; Geography; Economics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001700315,0.00006243499,0.0001871005,0.000442156,0.0003757064,0.00001890684,0.0004160585,0.0001557268,0.00009796077],"category_scores_gemma":[0.0002589232,0.00005895605,0.00009914428,0.0004694514,0.0004271006,0.0002029773,0.00005192323,0.0005003744,0.00003847461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002481001,"about_ca_system_score_gemma":0.0003810647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004310748,"about_ca_topic_score_gemma":0.005232924,"domain_scores_codex":[0.9985974,0.0005113246,0.0001640447,0.00008970645,0.000362816,0.0002746804],"domain_scores_gemma":[0.9982985,0.0007179718,0.0002001846,0.000101577,0.0005327686,0.0001489967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004575652,0.0009641479,0.7004444,0.0001500811,0.0003415036,0.0006441097,0.1075477,0.0002513322,0.0005854619,0.09458348,0.08731087,0.006719374],"study_design_scores_gemma":[0.001716183,0.001266255,0.6946062,0.000640362,0.00006877585,0.00003698065,0.103686,0.0003565458,0.0001731842,0.01199318,0.1851129,0.0003434275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8293587,0.00007470359,0.00000586758,0.001176568,0.0003034512,0.00008435534,0.0000023223,0.000007735888,0.1689863],"genre_scores_gemma":[0.9948685,0.000144415,0.000138683,0.00001741926,0.0002427565,7.330866e-8,4.68493e-7,0.000003707933,0.004583948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1655098,"threshold_uncertainty_score":0.6516591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08176755952389006,"score_gpt":0.339648083139197,"score_spread":0.2578805236153069,"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."}}