{"id":"W1952392994","doi":"10.1191/0959683605hl855ra","title":"Holocene palaeoenvironmental reconstruction in norteastern Brazi inferred from polen,, charcoal and carboon isotope records","year":2005,"lang":"en","type":"article","venue":"The Holocene","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Holocene; Geology; Charcoal; Radiocarbon dating; Vegetation (pathology); Holocene climatic optimum; Peat; Arboreal locomotion; Paleoecology; Pollen; Dominance (genetics); Physical geography; Ecology; Paleontology; Archaeology; Geography; Habitat","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001661059,0.0001497196,0.0001241686,0.001120993,0.0003979425,0.0004939307,0.0002054272,0.0001389017,0.000945085],"category_scores_gemma":[0.0003131372,0.000208262,0.0001508945,0.0009063291,0.0002652007,0.0001576532,0.0002348416,0.0001558858,0.0001406056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007828712,"about_ca_system_score_gemma":0.0004699343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1183794,"about_ca_topic_score_gemma":0.3220739,"domain_scores_codex":[0.9999621,0.000004280999,0.000003008981,0.00001284016,0.000006587945,0.00001123267],"domain_scores_gemma":[0.999896,0.00001029762,0.00004983592,0.000005667102,0.0000198644,0.00001819852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001673987,0.00002886208,0.9408861,0.00009871257,0.00006698428,0.0004374969,0.006454034,0.000216817,0.02767032,0.0004671598,0.0002330684,0.02327297],"study_design_scores_gemma":[0.000002455047,0.000008064475,0.9983341,0.000009823196,0.000005449514,0.00004383134,0.0003244909,0.000118213,0.0001145923,0.00001755997,0.001019423,0.000001989148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984447,0.0002263533,0.00007681469,0.000038285,0.000002480034,0.000005112262,0.0003299349,0.00001102073,0.0008652601],"genre_scores_gemma":[0.9987279,0.0002089782,0.0002563724,0.000008676711,0.000003012205,0.000006676226,0.0003601245,0.000007626743,0.0004207972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1183794,"threshold_uncertainty_score":0.2353806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420348337960447,"score_gpt":0.2179964410534718,"score_spread":0.2037929576738673,"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."}}