{"id":"W4200162869","doi":"10.3389/ffgc.2021.780299","title":"Successional and Intraspecific Variations in Leaf Traits, Spectral Reflectance Indices and Herbivory in a Brazilian Tropical Dry Forest","year":2021,"lang":"en","type":"article","venue":"Frontiers in Forests and Global Change","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Inter-American Institute for Global Change Research; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Intraspecific competition; Biology; Specific leaf area; Herbivore; Normalized Difference Vegetation Index; Photochemical Reflectance Index; Ecosystem; Ecology; Botany; Leaf area index; Photosynthesis","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":[0.00009070596,0.0001054429,0.0001734579,0.00005293654,0.00008522881,0.00002352986,0.0000556896,0.0001009468,0.00002632223],"category_scores_gemma":[0.00002872263,0.0001015486,0.00001179467,0.0002837946,0.0002670053,0.0002234281,0.0001002023,0.0001443266,0.000001005201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001305948,"about_ca_system_score_gemma":0.00001177305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002678549,"about_ca_topic_score_gemma":0.2493714,"domain_scores_codex":[0.9991516,0.00005394339,0.0001674474,0.0003051117,0.00008695222,0.00023495],"domain_scores_gemma":[0.9998256,0.00002855629,0.00003526751,0.00004820723,0.000003491166,0.00005885669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003060451,0.00005928682,0.9918815,0.00001871729,0.000004771542,0.00005493638,0.001106258,0.00001861318,0.000003077339,0.003866823,0.0001201028,0.002835268],"study_design_scores_gemma":[0.000639602,0.00004197113,0.968226,0.00004276104,0.000003685972,0.000009166106,0.0004550494,0.003213136,6.245332e-7,0.02714402,0.0001188496,0.0001050998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939849,0.003501348,0.0001958402,0.001141664,0.0001434792,0.000138487,0.0000117101,0.000006123257,0.000876478],"genre_scores_gemma":[0.9966764,0.0009071426,0.002120337,0.0001854118,0.00002941041,0.00003040635,0.000006063568,0.0000036266,0.0000411412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2491035,"threshold_uncertainty_score":0.7643256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113787123044303,"score_gpt":0.2460907104635137,"score_spread":0.2349528392330707,"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."}}