{"id":"W4414556286","doi":"10.1016/j.quascirev.2025.109607","title":"Sedimentary Mo isotope variability reflects climate-driven water column oxygenation changes in ferruginous Lake Towuti, Indonesia over the last ∼30 ka BP","year":2025,"lang":"en","type":"article","venue":"Quaternary Science Reviews","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society; University of Victoria; University of British Columbia","funders":"Kementerian Riset, Teknologi dan Pendidikan Tinggi; Deutsche Forschungsgemeinschaft; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Water column; Anoxic waters; Sedimentary rock; Pelagic zone; Dissolution; Surface water; Authigenic; Weathering; Bottom water; Sediment","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003816226,0.0002398786,0.0004028061,0.0002417986,0.0006077758,0.0001415485,0.0009056474,0.0001047157,0.0004891732],"category_scores_gemma":[0.00005946902,0.0001379568,0.000090573,0.0008984448,0.0006226588,0.0005637667,0.00002620082,0.0002868362,0.0001121095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002176681,"about_ca_system_score_gemma":0.0001102512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062853,"about_ca_topic_score_gemma":0.03876447,"domain_scores_codex":[0.997188,0.0005829252,0.0005031014,0.0006355256,0.0003712106,0.000719229],"domain_scores_gemma":[0.9991316,0.0001520053,0.0001363574,0.0004263615,0.00004398272,0.0001096685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002358786,0.0000356371,0.9149231,0.00006908366,0.000007197584,0.00001366365,0.0005156755,0.00004664257,0.0007577526,0.00007394957,0.0001643892,0.08336932],"study_design_scores_gemma":[0.0002130519,0.0001099005,0.984911,0.0001227957,0.00001667269,0.00001159587,0.0000512687,0.003200894,0.0004472187,0.000346248,0.01039084,0.0001785358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789085,0.005026245,0.00003085548,0.001585401,0.0006409565,0.001029261,0.00003109985,0.00003710334,0.0127106],"genre_scores_gemma":[0.9954427,0.002952537,0.00021385,0.001255784,0.0000554267,0.00002901547,0.00002223671,0.000001233958,0.00002714009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08319078,"threshold_uncertainty_score":0.9787756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321744462055065,"score_gpt":0.278677296557049,"score_spread":0.2554598519364983,"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."}}