{"id":"W3181826649","doi":"10.1029/2020gc009582","title":"Iron Mineralogy and Sediment Color in a 100 m Drill Core From Lake Towuti, Indonesia Reflect Catchment and Diagenetic Conditions","year":2021,"lang":"en","type":"article","venue":"Geochemistry Geophysics Geosystems","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Brown University; Genome British Columbia; Deutsche Forschungsgemeinschaft; NASA Astrobiology Institute; National Aeronautics and Space Administration; National Science Foundation","keywords":"Diagenesis; Geology; Sedimentary rock; Sedimentary depositional environment; Geochemistry; Overprinting; Sediment; Mineralogy; Carbonate; Mafic; Clay minerals; Structural basin; Geomorphology; Metamorphic rock; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001587198,0.0003202885,0.0004370227,0.00002968258,0.0001515012,0.0001238555,0.0003117878,0.000207996,0.00005347778],"category_scores_gemma":[0.00003920986,0.0003490285,0.00005728792,0.0003525881,0.0001078739,0.0001132302,0.0005730425,0.0002481064,0.00001185989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000607086,"about_ca_system_score_gemma":0.0001275336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005339673,"about_ca_topic_score_gemma":0.000356756,"domain_scores_codex":[0.9978539,0.00007460892,0.0004156617,0.0009209449,0.0002454653,0.0004894294],"domain_scores_gemma":[0.9986252,0.0001845558,0.0001712973,0.0006998508,0.0001246757,0.0001944449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004005582,0.0006895798,0.09833574,0.001056263,0.0002218159,0.001357085,0.00344039,0.00137152,0.8853967,0.002374217,0.003916363,0.001800335],"study_design_scores_gemma":[0.01315983,0.0006711932,0.3110532,0.001932429,0.0004412135,0.002051753,0.003034523,0.1002773,0.4227871,0.06528205,0.07320292,0.006106538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945472,0.0007026459,0.0002559463,0.001255771,0.0002004871,0.000234179,0.00008470633,0.00006597475,0.002653017],"genre_scores_gemma":[0.997393,0.00005214906,0.0005948844,0.0002111262,0.0001681376,0.000125996,0.0004162881,0.000006738758,0.001031726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4626095,"threshold_uncertainty_score":0.9998962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386164405476928,"score_gpt":0.2363090104378494,"score_spread":0.2224473663830801,"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."}}