{"id":"W2101049117","doi":"10.1016/j.palaeo.2010.11.021","title":"Biogeochemical indicators of environmental changes from 50Ka to 10Ka in a humid region of the Brazilian Amazon","year":2010,"lang":"en","type":"article","venue":"Palaeogeography Palaeoclimatology Palaeoecology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Waterloo; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Biogeochemical cycle; Total organic carbon; Sedimentary organic matter; Productivity; Organic matter; Sediment; Environmental science; Biogenic silica; Amazon rainforest; Geology; Hydrology (agriculture); Environmental chemistry; Chemistry; Ecology; Biology; Geomorphology","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":[0.0001693026,0.0001363678,0.0001855068,0.0009050714,0.0003776817,0.0005049086,0.0002332246,0.0001957139,0.0007375294],"category_scores_gemma":[0.0007826113,0.0002062905,0.0001782018,0.0009706055,0.0004303774,0.000339041,0.000513221,0.0001848332,0.00007341422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102871,"about_ca_system_score_gemma":0.0005287512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1376987,"about_ca_topic_score_gemma":0.3555141,"domain_scores_codex":[0.999879,0.00001982077,0.00001763905,0.00002544431,0.00002335493,0.00003469271],"domain_scores_gemma":[0.9994841,0.00007357681,0.000224924,0.00002118871,0.0001182928,0.00007784359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007158316,0.00001925879,0.9906233,0.00003786003,0.0000536726,0.0001114181,0.001155351,0.0001420863,0.004477574,0.0001104113,0.00008518728,0.003112303],"study_design_scores_gemma":[9.975599e-7,0.000004875102,0.9994009,0.000002828055,0.000005073783,0.00001956283,0.0003170962,0.00004848255,0.00004913734,0.000007459706,0.0001424612,0.000001144046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990925,0.00008333196,0.00002772083,0.00002739432,0.000001251729,0.000004278353,0.0001666292,0.00000221233,0.0005947084],"genre_scores_gemma":[0.9996295,0.00006896169,0.00006734428,0.000006422455,0.00000146391,0.000004102977,0.0001222589,0.000001086519,0.00009888014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1376987,"threshold_uncertainty_score":0.2737944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005763956795646691,"score_gpt":0.2110163045888513,"score_spread":0.2052523477932046,"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."}}