{"id":"W4321350777","doi":"10.1016/j.scitotenv.2023.162245","title":"Earthquake, floods and changing land use history: A 200-year overview of environmental changes in Selenga River basin as indicated by n-alkanes and related proxies in sediments from shallow lakes","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Irkutsk Scientific Center, Siberian Branch, Russian Academy of Sciences; Natural Environment Research Council; Universidade Federal do Paraná; Russian Science Foundation; University College London; Russian Foundation for Basic Research; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Siberian Branch, Russian Academy of Sciences; Sight Research UK","keywords":"Watershed; Macrophyte; Delta; Floodplain; River delta; Geology; Sedimentary depositional environment; Lake ecosystem; Structural basin; Ecosystem; Holocene; Hydrology (agriculture); Drainage basin; Ecology; Oceanography; Geography; Geomorphology","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":[0.0002219774,0.0002649993,0.0002219412,0.002132422,0.0001757964,0.0005155371,0.0001345695,0.0002318225,0.0004703554],"category_scores_gemma":[0.0002129391,0.0001817448,0.0003836787,0.002940137,0.0001820579,0.0004965062,0.0004844326,0.0001603515,0.000102536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002322502,"about_ca_system_score_gemma":0.0003301609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01254497,"about_ca_topic_score_gemma":0.0292793,"domain_scores_codex":[0.9999262,0.000008822477,0.00001604742,0.00002331824,0.000009334082,0.00001623011],"domain_scores_gemma":[0.999814,0.00003819446,0.00007039689,0.00001184408,0.00003291993,0.00003271815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006728849,0.00002129763,0.9624186,0.0001703241,0.0003603077,0.000363965,0.0004227821,0.0003645771,0.001322013,0.00009661907,0.0005780202,0.03381426],"study_design_scores_gemma":[7.061798e-7,0.00001603157,0.9969272,0.00002978908,0.00005804873,0.0001844298,0.0003141902,0.0001015018,0.000091685,0.00002718845,0.002245941,0.000003269069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824671,0.01419154,0.0002146679,0.0001769527,0.00001781173,0.000005256076,0.002008205,0.00001782552,0.0009005728],"genre_scores_gemma":[0.9759177,0.01985902,0.0003560958,0.00008475991,0.0000428218,0.000008298835,0.002692176,0.000009747042,0.001029321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01254497,"threshold_uncertainty_score":0.02494389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003366311968847,"score_gpt":0.206784837462382,"score_spread":0.1867511743426935,"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."}}