{"id":"W4411346342","doi":"10.36783/18069657rbcs20240211","title":"Native and exotic tree leaves litter contributions to soil organic matter formation in revegetation strategies","year":2025,"lang":"en","type":"article","venue":"Revista Brasileira de Ciência do Solo","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Royal Roads University","keywords":"Revegetation; Agroforestry; Organic matter; Litter; Environmental science; Native forest; Tree (set theory); Plant litter; Agronomy; Soil organic matter; Forestry; Ecology; Geography; Soil science; Biology; Soil water; Ecosystem; Mathematics; Land reclamation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003052904,0.0002427945,0.0001897845,0.0002288649,0.0001611263,0.0003197079,0.0001210689,0.0001336381,0.0004639967],"category_scores_gemma":[0.0001554397,0.00009333692,0.0001681582,0.0001236733,0.0001275211,0.0002155292,0.0002041691,0.0001271984,0.00007033497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002840683,"about_ca_system_score_gemma":0.0001859725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001863061,"about_ca_topic_score_gemma":0.005330673,"domain_scores_codex":[0.9998977,0.00002076168,0.000007718562,0.00002739711,0.00001797017,0.00002842379],"domain_scores_gemma":[0.9997882,0.00002891034,0.00006984692,0.00001185488,0.00004520956,0.00005597039],"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":[0.0003661153,0.00007646564,0.06901051,0.000151144,0.00005173904,0.0001236744,0.0002095719,0.0003335874,0.9224742,0.0000523388,0.00001572499,0.007134911],"study_design_scores_gemma":[0.000006288687,0.0006692949,0.9356925,0.00001357335,0.00004461136,0.0002689057,0.0004308334,0.001161586,0.06087146,0.00006115891,0.0007718579,0.000007901815],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995595,0.0001356756,0.00010233,0.000002311787,5.082092e-7,0.000002558125,0.00001819274,0.000001533221,0.0001774855],"genre_scores_gemma":[0.999149,0.0001210001,0.0003651999,0.000006483131,9.642757e-7,0.000003827415,0.00006658686,0.000002069419,0.0002848778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001863061,"threshold_uncertainty_score":0.003704429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008006213566540459,"score_gpt":0.2518574388319589,"score_spread":0.2438512252654185,"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."}}