{"id":"W2217989240","doi":"10.1139/cjfr-2015-0038","title":"Carbon storage, net primary production, and net ecosystem production in four major temperate forest types in northeastern China","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Program for Changjiang Scholars and Innovative Research Team in University; Fundamental Research Funds for the Central Universities; Ministry of Science and Technology of the People's Republic of China","keywords":"Larix gmelinii; Larch; Betula platyphylla; Primary production; Temperate rainforest; Forest ecology; Environmental science; Temperate forest; Ecosystem; Forestry; Temperate climate; Pinus koraiensis; Secondary forest; Carbon sequestration; Old-growth forest; Taiga; Litter; Agroforestry; Agronomy; Ecology; Botany; Biology; Geography; Carbon dioxide","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003359976,0.0001193089,0.0002020869,0.0005957911,0.0001210144,0.00005708118,0.0002654681,0.0000829709,0.00004561375],"category_scores_gemma":[0.0004328509,0.0001065515,0.00002039673,0.000590568,0.000239059,0.0003589254,0.00007819941,0.0005248412,0.0000296614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096022,"about_ca_system_score_gemma":0.0005231811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0447178,"about_ca_topic_score_gemma":0.9594312,"domain_scores_codex":[0.9981248,0.0003057191,0.0003544843,0.0002814123,0.0003882365,0.0005453327],"domain_scores_gemma":[0.9991047,0.00001868012,0.00009927532,0.0002127169,0.00007570805,0.0004889341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007495347,0.00002798218,0.9683135,0.00003397768,0.000009260266,0.0002883671,0.0006942698,0.02726104,0.00001425316,0.0000865754,0.0027642,0.00043165],"study_design_scores_gemma":[0.0004011075,0.0002739111,0.9939374,0.00008816287,0.000004894847,0.0001925115,0.0002105046,0.0004501401,0.00001223594,0.001780847,0.002544349,0.000103924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939011,0.0002371578,0.000002332676,0.002688514,0.000500321,0.0004969335,0.000002211665,0.000003386642,0.002168026],"genre_scores_gemma":[0.9982635,0.00002926337,0.00005773419,0.00002233659,0.0001783314,0.00002024625,0.000002689286,0.00001534245,0.001410532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9147134,"threshold_uncertainty_score":0.9616435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227037276920251,"score_gpt":0.2466040762180006,"score_spread":0.2243337034487981,"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."}}