{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034233,0.0003951382,0.0002469085,0.001210696,0.00008794133,0.0004460482,0.0001742851,0.0002129911,0.002389797],"category_scores_gemma":[0.0006654997,0.0001405218,0.0003011482,0.001581459,0.0001041287,0.000563912,0.0004350378,0.0002207431,0.0007690195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001964619,"about_ca_system_score_gemma":0.0001263992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005424334,"about_ca_topic_score_gemma":0.004181654,"domain_scores_codex":[0.9998541,0.00002263685,0.000005466511,0.00008231871,0.00002325263,0.00001220782],"domain_scores_gemma":[0.9997233,0.00005998255,0.00003855136,0.00005777864,0.0001029296,0.00001746058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001950316,0.00007315174,0.5577908,0.000277167,0.0004770652,0.0001164417,0.0002846139,0.2202824,0.02695236,0.003235677,0.008945881,0.1813694],"study_design_scores_gemma":[0.00002723141,0.00005368044,0.779134,0.00005038666,0.00008367084,0.000126049,0.0001872485,0.1929869,0.004974912,0.003220125,0.01910119,0.00005471143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669305,0.0004720249,0.07363961,0.0001848377,0.00004065841,0.00002907406,0.04687898,0.002143812,0.009680517],"genre_scores_gemma":[0.9529901,0.0001708572,0.02603822,0.0000272707,0.00002358444,0.00003144252,0.01958039,0.0001359358,0.001002255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005424334,"threshold_uncertainty_score":0.01078552,"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."}}