{"id":"W2510578688","doi":"10.1007/s10021-016-0029-4","title":"Demographic Drivers of Aboveground Biomass Dynamics During Secondary Succession in Neotropical Dry and Wet Forests","year":2016,"lang":"en","type":"article","venue":"Ecosystems","topic":"Forest ecology and management","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Wageningen University and Research; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Andrew W. Mellon Foundation; Fundação de Amparo à Pesquisa do Estado do Amazonas; National Science Foundation","keywords":"Ecological succession; Tropical and subtropical dry broadleaf forests; Biomass (ecology); Dominance (genetics); Secondary succession; Forest dynamics; Ecology; Environmental science; Secondary forest; Old-growth forest; Stand development; Biology; Forestry; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000155276,0.00008988316,0.0001434734,0.00008851439,0.0000578456,0.000007338239,0.0001297296,0.00008343317,0.0003056919],"category_scores_gemma":[0.00001034182,0.00006469985,0.00002873417,0.0001340133,0.0001493572,0.0002040339,0.0001824645,0.00005605411,0.00004060813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391863,"about_ca_system_score_gemma":0.000004527395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000506475,"about_ca_topic_score_gemma":0.06023045,"domain_scores_codex":[0.9991975,0.00005016208,0.0002131642,0.0002250532,0.0001113899,0.0002027141],"domain_scores_gemma":[0.9996632,0.00004093823,0.00008343336,0.0001527963,0.000002433003,0.000057209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001776085,0.00002770826,0.9960498,0.00005792326,0.000008509772,0.00001850223,0.00004284735,0.00001171794,0.001468665,0.001401024,0.00008972741,0.0008058417],"study_design_scores_gemma":[0.0006921306,0.00004966602,0.9961172,0.00006618297,0.000004471574,0.000004301206,0.00004613146,0.001105357,0.000201475,0.001178301,0.0004453789,0.00008937176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975509,0.00003283747,0.000321619,0.0001678346,0.0001973109,0.0001823442,0.00000862786,0.00001599381,0.001522527],"genre_scores_gemma":[0.999632,0.00003222954,0.00005263767,0.000009173058,0.000011753,0.00001266735,0.000002544899,0.000007007213,0.0002400064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05972397,"threshold_uncertainty_score":0.9569179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003043512891593239,"score_gpt":0.186986560180593,"score_spread":0.1839430472889998,"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."}}