{"id":"W4386477215","doi":"10.5902/1980509865542","title":"Biomass and carbon in <i>Schizolobium parahyba</i> var. <i>amazonicum</i> stands under different spacing","year":2023,"lang":"en","type":"article","venue":"Ciência Florestal","topic":"Forest ecology and management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fundação de Amparo à Pesquisa e Inovação do Espírito Santo; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Sowing; Monoculture; Pasture; Biomass (ecology); Carbon sequestration; Carbon stock; Environmental science; Agronomy; Shoot; Forestry; Animal science; Botany; Carbon dioxide; Biology; Geography; Ecology; Climate change","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009126848,0.0007404612,0.0007311495,0.0004274414,0.0004478325,0.0001265121,0.0006502497,0.0004488309,0.000679373],"category_scores_gemma":[0.0001247243,0.000704125,0.0001924084,0.001138627,0.0009036765,0.0003685592,0.001461792,0.0004200042,0.0006216991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008444376,"about_ca_system_score_gemma":0.00006765013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000096212,"about_ca_topic_score_gemma":0.01780845,"domain_scores_codex":[0.995066,0.0002501395,0.0007685938,0.001378063,0.0008835601,0.001653607],"domain_scores_gemma":[0.9981689,0.0002426571,0.0002394994,0.0008611687,0.00002290382,0.0004648106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000992476,0.001954346,0.3089823,0.0005128634,0.0007085441,0.00274848,0.004947856,0.01388599,0.4493554,0.1587272,0.05237314,0.00481153],"study_design_scores_gemma":[0.002357442,0.0003904318,0.9500148,0.00008733873,0.0001162879,0.00002994066,0.0001201424,0.009024398,0.001541711,0.008472282,0.02679686,0.001048429],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777534,0.0005613757,0.0003422043,0.0008220714,0.0012494,0.0008948748,0.00005329511,0.0003549286,0.01796842],"genre_scores_gemma":[0.995585,0.0003588817,0.0001125661,0.0002088402,0.000186626,0.0001715337,0.0001147743,0.00009720195,0.003164594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6410325,"threshold_uncertainty_score":0.999541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009630691327834543,"score_gpt":0.2155552102148715,"score_spread":0.2059245188870369,"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."}}