{"id":"W2108008160","doi":"10.1111/geb.12371","title":"Assessing the general patterns of forest structure: quantifying tree and forest allometric scaling relationships in the<scp>U</scp>nited<scp>S</scp>tates","year":2015,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Forest ecology and management","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; U.S. Department of Agriculture; National Aeronautics and Space Administration","keywords":"Allometry; Ecology; Tree allometry; Scaling; Scale (ratio); Forest ecology; Tree (set theory); Ecosystem; Environmental science; Mathematics; Biology; Geography; Biomass (ecology); Geometry; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007401384,0.0001514956,0.0002395904,0.00151736,0.0002988119,0.0007170612,0.0003658655,0.0002555506,0.0008393596],"category_scores_gemma":[0.003125841,0.0001781186,0.0003068056,0.001111264,0.0006170709,0.0005329074,0.0003490327,0.0002055475,0.0002303191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003998091,"about_ca_system_score_gemma":0.0001692177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01023081,"about_ca_topic_score_gemma":0.02120601,"domain_scores_codex":[0.9997869,0.00005460165,0.00001785891,0.00008560335,0.00003817372,0.00001689903],"domain_scores_gemma":[0.9979304,0.0008576041,0.0004782834,0.0003466444,0.0002592638,0.0001279531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008596595,0.00004489954,0.9560929,0.00003060458,0.0001205475,0.00005581303,0.0002584061,0.01888182,0.007507607,0.0005779834,0.0004578895,0.01588566],"study_design_scores_gemma":[0.000003336193,0.00002885474,0.9621387,0.000005969921,0.00001169546,0.00006244261,0.0001556998,0.03628511,0.0006497006,0.0003911931,0.0002583378,0.00000893141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997752,0.00003254131,0.001509624,0.0000107137,9.890596e-7,0.000003046245,0.0002647293,0.00002485117,0.0004014912],"genre_scores_gemma":[0.9986394,0.00001108147,0.0009622407,0.000003921537,6.772911e-7,0.000004705705,0.0003213784,0.00000468888,0.00005188373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01023081,"threshold_uncertainty_score":0.02034253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053015279225917,"score_gpt":0.2674207595447689,"score_spread":0.2368906067525097,"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."}}