{"id":"W4415358972","doi":"10.5194/bg-22-5705-2025","title":"Species-specific relationships between net primary productivity and forest age for subtropical China","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Pinus massoniana; Cunninghamia; Subtropics; Primary production; Tropical and subtropical moist broadleaf forests; Forest ecology; Forest management; Biomass (ecology); Productivity; Eucalyptus","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004436566,0.0003566892,0.0001864189,0.0008022151,0.0002220667,0.0003074255,0.0002511753,0.0001693061,0.0006622195],"category_scores_gemma":[0.0005394485,0.0001415534,0.0004688232,0.0008440856,0.0001434186,0.000410681,0.0002810634,0.000135692,0.00007637197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007230683,"about_ca_system_score_gemma":0.000474547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04572885,"about_ca_topic_score_gemma":0.0630628,"domain_scores_codex":[0.9999286,0.00001138321,0.000006168748,0.00002684375,0.00001163446,0.00001523619],"domain_scores_gemma":[0.9997743,0.00004768307,0.00004432631,0.0000296052,0.00006903776,0.00003509068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004388103,0.0000205866,0.9653391,0.00003165295,0.0001060205,0.0001049379,0.00009067439,0.02345856,0.002954213,0.0002028175,0.0001905031,0.007457026],"study_design_scores_gemma":[0.00000516203,0.00001393423,0.9414359,0.000003376865,0.00003396957,0.00003424671,0.00007175109,0.05761647,0.0004304638,0.0001255933,0.0002201588,0.000008982817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991911,0.00004558481,0.0002801151,0.0000109289,0.000001107079,0.000001772418,0.0002524964,0.00001236002,0.0002046573],"genre_scores_gemma":[0.9993949,0.00002558651,0.000171752,0.000004403119,8.27118e-7,0.000002361846,0.0003384275,0.000001855603,0.0000599393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04572885,"threshold_uncertainty_score":0.0909254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496927571037539,"score_gpt":0.2290819153450051,"score_spread":0.2041126396346297,"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."}}