{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002736998,0.0007797431,0.0007892791,0.05466689,0.001669026,0.006081547,0.001181969,0.001032778,0.006949243],"category_scores_gemma":[0.01132007,0.0003130113,0.001193792,0.05469251,0.0008732342,0.007195961,0.002478503,0.0005977252,0.001260962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002923721,"about_ca_system_score_gemma":0.008211134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01222899,"about_ca_topic_score_gemma":0.01044559,"domain_scores_codex":[0.9973762,0.0004681007,0.0004612178,0.0005963609,0.0009192663,0.0001788177],"domain_scores_gemma":[0.9926166,0.004359579,0.0008959977,0.0005884746,0.001344149,0.0001951939],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001178087,0.000141665,0.05101662,0.01698123,0.0005049311,0.002083928,0.006998923,0.003813373,0.003656484,0.1008794,0.0241243,0.7896812],"study_design_scores_gemma":[0.00005131567,0.00009738142,0.1392942,0.01949363,0.001641166,0.002488756,0.02547074,0.01592095,0.009110226,0.1951267,0.5910833,0.0002216958],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.2661345,0.1673566,0.1188638,0.01074337,0.001100733,0.001088302,0.07806648,0.001916247,0.3547299],"genre_scores_gemma":[0.7510142,0.1055742,0.08444525,0.0008551016,0.0004124909,0.000714377,0.04525455,0.0001799312,0.01155002],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.997263,"threshold_uncertainty_score":0.02431566,"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."}}