{"id":"W3129402878","doi":"10.1007/s10933-020-00171-9","title":"Cyclostratigraphy and paleoenvironmental inference from downhole logging of sediments in tropical Lake Towuti, Indonesia","year":2021,"lang":"en","type":"article","venue":"Journal of Paleolimnology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; Brown University; Deutsche Forschungsgemeinschaft; Genome British Columbia; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Geology; Cyclostratigraphy; Marine isotope stage; Drilling; Paleoclimatology; Geochronology; Facies; Radiometric dating; Interglacial; Paleontology; Borehole; Scientific drilling; Stadial; Sedimentology; Logging; Glacial period; Tephra; Structural basin; Climate change; Oceanography; Volcano","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001754626,0.0001058252,0.0003811459,0.0001955617,0.00004133327,0.000008001782,0.0001619163,0.0002059573,0.001086419],"category_scores_gemma":[0.00007243695,0.00009002134,0.00005231728,0.0001413629,0.0004263096,0.0001111296,0.0000250381,0.0004826697,0.00001168823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":9.093494e-7,"about_ca_system_score_gemma":0.0000756779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003160773,"about_ca_topic_score_gemma":0.005629869,"domain_scores_codex":[0.9986264,0.0003114014,0.0004583662,0.0001694764,0.0001629144,0.0002714744],"domain_scores_gemma":[0.9991083,0.0004467334,0.0002028358,0.0001102968,0.00003263016,0.00009918405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001221284,0.00005706391,0.9977891,0.00001067987,0.00005513966,0.0006087355,0.0001884994,0.00006971327,0.0003096754,0.00003936482,0.000007794561,0.0007421029],"study_design_scores_gemma":[0.000970458,0.000291126,0.9960133,0.0000240011,0.00001861227,0.000410818,0.0002457079,0.00007772793,0.0005159016,0.001303594,0.00005595848,0.00007274721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956738,0.002957002,0.00003046935,0.0005391839,0.0001555163,0.00004017706,0.00002402806,0.000002297439,0.0005775444],"genre_scores_gemma":[0.9983717,0.000763041,0.000680301,0.0001161561,0.00004046473,2.774161e-7,0.00002042343,0.000001345149,0.000006328586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005598261,"threshold_uncertainty_score":0.9998267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131881028409596,"score_gpt":0.2411822718654531,"score_spread":0.2279941690244935,"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."}}