{"id":"W4405329095","doi":"10.1016/j.foreco.2024.122457","title":"Forest structure predicts aboveground biomass better than community-weighted mean of traits, functional diversity, topography, and soil in a tropical forest across spatial scales","year":2024,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Yunnan Key Research and Development Program; Chinese Academy of Sciences","keywords":"Biomass (ecology); Functional diversity; Environmental science; Ecology; Tropical forest; Forest structure; Agroforestry; Geography; Biology; Canopy","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":[0.0007033173,0.0003190402,0.0002410565,0.0004628305,0.0002719334,0.0004990168,0.0002146997,0.0002142411,0.001215701],"category_scores_gemma":[0.001270682,0.0001485106,0.0003543267,0.0004804893,0.0003604295,0.0005230044,0.0003218122,0.0001999014,0.0001689012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002097371,"about_ca_system_score_gemma":0.000261413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02200568,"about_ca_topic_score_gemma":0.03448799,"domain_scores_codex":[0.9998431,0.00004532774,0.000007941278,0.00005363116,0.00001485388,0.00003500773],"domain_scores_gemma":[0.9990655,0.0003765118,0.0002346039,0.00007383519,0.00007397276,0.0001756152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003336823,0.00001679909,0.9961515,0.000006866708,0.00008320735,0.00002992675,0.00007301349,0.001192567,0.0007586722,0.00005288259,0.00005042543,0.001550716],"study_design_scores_gemma":[0.000001745816,0.00001962327,0.9951663,0.000003990566,0.00001616528,0.0000268738,0.0001175277,0.004434742,0.00006820331,0.0000884957,0.00005334376,0.000002857692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994909,0.00005323723,0.0001943683,0.00001368396,0.000001235712,0.000001047517,0.00006383193,0.000004459764,0.0001772588],"genre_scores_gemma":[0.9997696,0.00001488317,0.00009733109,0.000004221274,0.000001337635,8.62211e-7,0.00006000587,0.000001175723,0.0000506486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02200568,"threshold_uncertainty_score":0.04375517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00806384788140338,"score_gpt":0.2131416952929954,"score_spread":0.205077847411592,"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."}}