{"id":"W2904765976","doi":"","title":"Climate change and sustainable forestry: A regional perspective from northeast China","year":2018,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reforestation; Ecoforestry; Climate change; Forest ecology; Intact forest landscape; Agroforestry; Biodiversity; Ecosystem; Sustainable development; Environmental science; Forest management; Global warming; Forest restoration; China; Environmental protection; Geography; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005427424,0.0002991753,0.0002569587,0.0009892771,0.001007955,0.00139132,0.0004211084,0.0003671831,0.001728281],"category_scores_gemma":[0.0002973154,0.00009153475,0.0003134622,0.002846955,0.000678247,0.001232484,0.0008437539,0.0004130644,0.00008779495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003483261,"about_ca_system_score_gemma":0.003255659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1915686,"about_ca_topic_score_gemma":0.3209591,"domain_scores_codex":[0.9998856,0.00002720489,0.000006697958,0.00001361708,0.00001640151,0.00005048038],"domain_scores_gemma":[0.9997873,0.00003786644,0.00005853236,0.000008943475,0.0000498372,0.00005763083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002041831,0.0001720555,0.5650017,0.001824843,0.000377871,0.005554978,0.02445052,0.02552239,0.003980916,0.1491222,0.03399533,0.189793],"study_design_scores_gemma":[0.00001653404,0.000117984,0.817898,0.0007484456,0.0002413597,0.0006832936,0.01670133,0.007655259,0.0004436462,0.01185283,0.1435737,0.00006761278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7961551,0.08914331,0.001140156,0.0396903,0.0003501669,0.00003723842,0.001457892,0.00004192158,0.07198402],"genre_scores_gemma":[0.9592109,0.03602121,0.0004995903,0.0009127626,0.0001560967,0.00001230012,0.0003184348,0.000005177132,0.002863545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1915686,"threshold_uncertainty_score":0.3809071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01514728364942129,"score_gpt":0.2430085047566979,"score_spread":0.2278612211072766,"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."}}