{"id":"W7045567688","doi":"","title":"Analysis of mangrove forest succession, using sediment cores: a case study in the CananÃ©ia-Iguape coastal system, SÃ£o Paulo-Brazil","year":2009,"lang":"pt","type":"article","venue":"Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research)","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Mangrove; Ecological succession; Sediment; Avicennia; Sedimentary rock; Coring","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":[0.000263741,0.0003484684,0.0002216096,0.001649235,0.0005630517,0.0006024905,0.0002930964,0.0003157176,0.0004066842],"category_scores_gemma":[0.0004933124,0.0002602656,0.0002932126,0.002111899,0.0004816917,0.0002707214,0.0004173096,0.0001232718,0.00009581984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174548,"about_ca_system_score_gemma":0.001026007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2312804,"about_ca_topic_score_gemma":0.5738049,"domain_scores_codex":[0.9998678,0.00001753637,0.00001221339,0.00003628976,0.00003407755,0.00003213461],"domain_scores_gemma":[0.999702,0.00005168895,0.0000731484,0.00001664896,0.0001045882,0.00005182123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006633189,0.00006835328,0.9671302,0.0001715583,0.0000742775,0.00336016,0.003599884,0.0005624097,0.01140563,0.0001640131,0.0001184132,0.01327872],"study_design_scores_gemma":[0.000002356204,0.00006009131,0.9948665,0.00001456246,0.00002322141,0.0003486108,0.002465423,0.0007353969,0.0007435098,0.00003093468,0.0007035497,0.000005820615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988353,0.0001642997,0.0001250355,0.00001927928,9.972273e-7,0.00002380661,0.0002033269,0.000003263786,0.0006248128],"genre_scores_gemma":[0.9983526,0.000266613,0.0006260485,0.000009311257,0.00000170765,0.000008551059,0.0002123027,0.00000238694,0.0005205187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2312804,"threshold_uncertainty_score":0.4598685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06397084439337211,"score_gpt":0.3718646286432832,"score_spread":0.3078937842499111,"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."}}