{"id":"W6957950537","doi":"10.60692/6fy4y-d9p25","title":"Consistent climatic controls of global wood density among angiosperms and gymnosperms","year":2024,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Lakehead University","funders":"","keywords":"Taiga; Abiotic component; Biomass (ecology); Global warming; Carbon cycle; Climate change; Global change; Productivity; Boreal; Global climate","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":[0.0002969273,0.0001294488,0.0001871186,0.0006747128,0.000208381,0.0004273547,0.0001256664,0.0000981519,0.0012352],"category_scores_gemma":[0.0007242585,0.0000839195,0.0001449302,0.0007580428,0.0003801658,0.0003094194,0.0003642095,0.0001338641,0.0001468102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001740989,"about_ca_system_score_gemma":0.0001139919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004618397,"about_ca_topic_score_gemma":0.00879907,"domain_scores_codex":[0.9997858,0.00005700313,0.00001193936,0.00008327782,0.0000291401,0.00003288286],"domain_scores_gemma":[0.9994739,0.0001507407,0.000173612,0.00007003457,0.0000717341,0.0000600335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005726988,0.00001204381,0.9681892,0.00002921839,0.0001261917,0.00005429551,0.0004730345,0.0004796909,0.02211111,0.0003507787,0.0001613025,0.007955861],"study_design_scores_gemma":[4.870732e-7,0.000003992311,0.9994592,0.000001542362,0.000005415224,0.00001302733,0.00009518568,0.0001501226,0.0001151216,0.00004796413,0.0001065456,0.000001431103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986922,0.0001364462,0.0002936145,0.00002110406,0.000001728271,0.000001376865,0.0002772579,0.000006557354,0.0005697174],"genre_scores_gemma":[0.999686,0.00002189245,0.00006934626,0.000005119203,0.000001922785,0.00000103039,0.0001737203,0.000002095826,0.00003890047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004618397,"threshold_uncertainty_score":0.009183049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193996846659856,"score_gpt":0.1792053024434063,"score_spread":0.1598056177774207,"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."}}