{"id":"W2066964530","doi":"10.1046/j.1365-2745.2003.00757.x","title":"Spatial and temporal variation of biomass in a tropical forest: results from a large census plot in Panama","year":2003,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Forest ecology and management","field":"Environmental Science","cited_by":470,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"World Wildlife Fund","keywords":"Panama; Hectare; Liana; Forestry; Biomass (ecology); Animal science; Diameter at breast height; Forest inventory; Basal area; Geography; Environmental science; Biology; Ecology; Forest management","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":[0.0003327121,0.000201623,0.0001502089,0.0008526488,0.0004178874,0.0004644399,0.0002421328,0.0001801637,0.000893598],"category_scores_gemma":[0.0008128777,0.0002000444,0.0001843717,0.001117502,0.0002681301,0.0003567968,0.0004017666,0.0001594056,0.0001163769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004091456,"about_ca_system_score_gemma":0.0001529782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06232886,"about_ca_topic_score_gemma":0.1334205,"domain_scores_codex":[0.9998322,0.0000377802,0.00001670186,0.0000616711,0.00002638172,0.00002537108],"domain_scores_gemma":[0.9992342,0.0001394148,0.0003197006,0.00007256249,0.0001037362,0.0001303397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002426664,0.00001022904,0.9972808,0.000008051888,0.00003103967,0.00004523025,0.0004416731,0.00006200257,0.0005738423,0.000006490911,0.00004420504,0.001472078],"study_design_scores_gemma":[8.377678e-7,0.000007507665,0.9995503,0.000001368629,0.000005719118,0.00003663107,0.0001604602,0.0001309175,0.00003338301,0.000001857064,0.00006965578,0.000001258342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995278,0.0000384946,0.00004403921,0.000005284057,4.795817e-7,0.000002712185,0.0002646673,0.000002481792,0.0001140389],"genre_scores_gemma":[0.9991969,0.00004549947,0.0001289815,0.000004197314,0.000001948209,0.000008548576,0.0005217735,0.000001384114,0.00009071849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06232886,"threshold_uncertainty_score":0.1239322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009037882674691047,"score_gpt":0.219510358230202,"score_spread":0.2104724755555109,"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."}}