{"id":"W2918329110","doi":"10.1111/1365-2745.13163","title":"The relationship of woody plant size and leaf nutrient content to large‐scale productivity for forests across the Americas","year":2019,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Forest ecology and management","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"H2020 European Research Council; Center for Makroøkologi, Evolution og Klima; University of California, Santa Barbara; Ministry of Business, Innovation and Employment; National Research Foundation; Villum Fonden; Maine Agricultural and Forest Experiment Station; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Grantová Agentura České Republiky; Univerzita Karlova v Praze; Danmarks Grundforskningsfond; U.S. Department of Agriculture; National Science Foundation","keywords":"Productivity; Nutrient; Scale (ratio); Woody plant; Environmental science; Agroforestry; Ecology; Agronomy; Forestry; Biology; Geography; Economics","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":[0.001182166,0.00005845955,0.0001490664,0.000009569239,0.0002058998,0.000009147481,0.0001872544,0.0000391945,0.00005375443],"category_scores_gemma":[0.0005167446,0.00003147762,0.00004595292,0.00006425747,0.000205297,0.00007012714,0.000153076,0.0001180309,0.00001789095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005938062,"about_ca_system_score_gemma":0.000009427118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009675697,"about_ca_topic_score_gemma":0.001930671,"domain_scores_codex":[0.9992615,0.000078817,0.0002425307,0.0001081472,0.00009435888,0.0002146565],"domain_scores_gemma":[0.9984207,0.001094731,0.0002806735,0.0001401349,0.00001971421,0.00004403964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003248749,0.0001611925,0.9803616,0.000007187744,0.00003364094,0.000001372714,0.0009003485,0.0003429966,0.0007608489,0.00271877,0.01421698,0.0001701616],"study_design_scores_gemma":[0.0005645292,0.0007515454,0.9682906,0.000003350233,0.00001518519,0.00001880318,0.0008382894,0.00005087027,0.0002068569,0.00379255,0.02542907,0.0000383654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915293,0.00004108583,0.0004672031,0.006912788,0.0003643962,0.0005633821,0.00001204043,0.000001649311,0.0001081565],"genre_scores_gemma":[0.9984702,0.00001628137,0.0001411182,0.000293288,0.00002389631,0.00002323172,5.077819e-7,0.000003786142,0.001027635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01207104,"threshold_uncertainty_score":0.1583636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058340843856235,"score_gpt":0.2687027006579135,"score_spread":0.2481192922193512,"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."}}