{"id":"W2788168576","doi":"10.3390/f9010005","title":"Relationship between Net Primary Productivity and Forest Stand Age under Different Site Conditions and Its Implications for Regional Carbon Cycle Study","year":2018,"lang":"en","type":"article","venue":"Forests","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; University of Toronto; National Natural Science Foundation of China","keywords":"Primary production; Environmental science; Biomass (ecology); Carbon cycle; Understory; Productivity; Ecosystem; Terrestrial ecosystem; Vegetation (pathology); Forest ecology; Forestry; Carbon sequestration; Site index; Ecology; Geography; Biology; Canopy; Carbon dioxide","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001074498,0.0002653406,0.000297063,0.0005445702,0.0001884306,0.0003328644,0.0001896141,0.0001568803,0.0006249949],"category_scores_gemma":[0.00163677,0.0001112601,0.0004154092,0.0006123188,0.0001452005,0.000390299,0.0002238708,0.0001603009,0.00008124398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005059962,"about_ca_system_score_gemma":0.0003453875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01978842,"about_ca_topic_score_gemma":0.03165767,"domain_scores_codex":[0.9997697,0.00006101725,0.00002120637,0.0000776496,0.00002962102,0.00004075183],"domain_scores_gemma":[0.9989754,0.0004411592,0.0001724442,0.0001098368,0.0002078771,0.00009327489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000339654,0.000009874525,0.99274,0.000008512299,0.00007174411,0.00004530782,0.00002360902,0.002524222,0.001151971,0.00003349106,0.00005308809,0.003304356],"study_design_scores_gemma":[0.000002185991,0.0000108329,0.9917406,0.000001272637,0.00002632797,0.00002897494,0.00003125361,0.007797441,0.0002319668,0.00004167202,0.00008378079,0.000003745856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985379,0.0001230783,0.0007044584,0.00001599366,0.000003760425,0.000004646854,0.0003470076,0.00001334644,0.0002498077],"genre_scores_gemma":[0.9993528,0.00003047981,0.0002846204,0.000005994542,0.000002607749,0.00000320639,0.0002485694,0.000003391367,0.00006831651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01978842,"threshold_uncertainty_score":0.03934646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286089988465089,"score_gpt":0.2791495701670797,"score_spread":0.2462886702824288,"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."}}