{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003013498,0.0001160339,0.0001532171,0.0001071896,0.0001201609,0.000112716,0.0001165212,0.00007439477,0.0005523684],"category_scores_gemma":[0.0001097462,0.0001131352,0.0000256985,0.000336112,0.00009508411,0.0004123307,0.0001308876,0.0001084598,0.0003971577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003842428,"about_ca_system_score_gemma":0.00002186923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004181226,"about_ca_topic_score_gemma":0.001567495,"domain_scores_codex":[0.9991078,0.0001082459,0.0002370944,0.0002261271,0.00008369096,0.0002370693],"domain_scores_gemma":[0.9996558,0.00007511383,0.00006047352,0.0001479398,0.0000146259,0.00004598264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008022752,0.0001962117,0.8379476,0.0003296658,0.00005682648,0.00004391058,0.004011193,0.001524034,0.01451652,0.101548,0.03770651,0.002039294],"study_design_scores_gemma":[0.0003008135,0.00003761541,0.9915331,0.0000781104,0.0000231679,0.000005547101,0.0004945243,0.000265007,0.0005800438,0.005884099,0.0006781115,0.0001198694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725358,0.0000833956,0.01737573,0.001113538,0.00004034088,0.0004696008,0.000006677628,0.00002498753,0.008349957],"genre_scores_gemma":[0.9971215,0.00001477993,0.000193207,0.00170549,0.00001155135,0.00006916057,0.00001053761,0.000005862963,0.0008679614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1535855,"threshold_uncertainty_score":0.6048046,"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."}}