{"id":"W4413800341","doi":"10.1101/2025.08.25.671920","title":"A global map of wood density","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Science and Engineering Research Board; Agencia Nacional de Investigación y Desarrollo; Ecopetrol; Fundação de Amparo à Pesquisa do Estado do Amazonas; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Council of Scientific and Industrial Research, India; Agence Nationale de la Recherche; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Fondation pour la Recherche sur la Biodiversite; Fundação de Amparo à Pesquisa do Estado de São Paulo; Natural Environment Research Council; UK Research and Innovation; Deutsche Forschungsgemeinschaft; Ministry of Business, Innovation and Employment; Royal Society Te Apārangi; Leverhulme Trust","keywords":"Biome; Temperate climate; Vegetation (pathology); Range (aeronautics); Taiga; Environmental science; Boreal; Atmospheric sciences; Physical geography; Global change; Temperate forest; Forestry; Climatology; Ecology; Climate change; Geography; Biology; Geology; Ecosystem; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005550024,0.000489814,0.0006942545,0.0002326604,0.0001265865,0.0001293823,0.0008489383,0.000501567,0.0003367931],"category_scores_gemma":[0.0002626778,0.0005021915,0.0002143086,0.0005429633,0.0001852478,0.0001157882,0.000278497,0.0004272313,0.0002238121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006280297,"about_ca_system_score_gemma":0.0009872691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001756099,"about_ca_topic_score_gemma":0.0003604181,"domain_scores_codex":[0.9972807,0.0002204876,0.000558955,0.000864414,0.0004904584,0.0005849476],"domain_scores_gemma":[0.9976307,0.0001919433,0.0004002279,0.001206184,0.000313819,0.0002571194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002009819,0.00009275251,0.9920676,0.001291239,0.0002493794,0.0001138968,0.000007370143,0.0009263086,0.003875603,0.000366553,0.0007793478,0.00002895204],"study_design_scores_gemma":[0.0002712438,0.00004222836,0.98369,0.0004545191,0.0001189281,1.848556e-8,0.00000240318,0.0004936825,0.01197464,0.000009728474,0.002454735,0.000487828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916019,0.00211668,0.0002447624,0.000183927,0.00172959,0.0004240387,0.003247302,0.0003283083,0.0001234586],"genre_scores_gemma":[0.9950012,0.0001256476,0.004576242,0.0001007103,0.0001627114,0.000006047311,0.000001148422,0.00001178338,0.00001449352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00837757,"threshold_uncertainty_score":0.999743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336035627890511,"score_gpt":0.2190284099734066,"score_spread":0.2056680536945015,"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."}}