{"id":"W4391914498","doi":"10.1093/pnasnexus/pgae008","title":"Forest demography and biomass accumulation rates are associated with transient mean tree size vs. density scaling relations","year":2024,"lang":"en","type":"article","venue":"PNAS Nexus","topic":"Forest ecology and management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"H2020 European Research Council; European Research Council; Horizon 2020 Framework Programme; Lunds Universitet; European Commission","keywords":"Biome; Forest dynamics; Scaling; Biomass (ecology); Environmental science; Temperate forest; Temperate rainforest; Seasonality; Ecology; Physical geography; Taiga; Atmospheric sciences; Temperate climate; Geography; Forest plot; Forestry; Ecosystem; Biology; Mathematics; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001971407,0.0001074987,0.00009981035,0.00004988406,0.0002203329,0.00005528625,0.00006050679,0.00006935541,0.0001322798],"category_scores_gemma":[0.00004745332,0.00008886615,0.00003656707,0.0003751784,0.0001543202,0.0002102869,0.0000448901,0.00008911065,0.00005509318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007811688,"about_ca_system_score_gemma":0.000004878617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001474428,"about_ca_topic_score_gemma":0.0136465,"domain_scores_codex":[0.9992422,0.00004417159,0.0001214202,0.0002702087,0.0001371971,0.000184802],"domain_scores_gemma":[0.9996128,0.0001767755,0.00004208515,0.0001013326,0.000006483821,0.00006050554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003656331,0.00007611611,0.9878663,0.00001902437,0.0001074762,0.00004758614,0.0009365197,0.006135616,0.0002628529,0.001983232,0.001578311,0.0009504108],"study_design_scores_gemma":[0.0002095123,0.00005825231,0.974044,0.00003465873,0.00008208866,0.000002643237,0.00007686256,0.01892091,0.00009011162,0.005741748,0.0006230152,0.0001162005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933272,0.00008330217,0.002904381,0.0008398061,0.0001056067,0.000238214,0.000005136574,0.0001169107,0.002379443],"genre_scores_gemma":[0.9992108,0.00000661227,0.0002668921,0.0001069903,0.00001145943,0.00001638009,0.00001757498,0.00001105307,0.0003521941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01382229,"threshold_uncertainty_score":0.7615065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293280751682248,"score_gpt":0.2309701324275577,"score_spread":0.2180373249107352,"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."}}