{"id":"W2100011382","doi":"10.1007/s10933-006-9015-8","title":"Progress in isotope paleohydrology using lake sediment cellulose","year":2006,"lang":"en","type":"article","venue":"Journal of Paleolimnology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Innovation Trust; National Science Foundation","keywords":"Sedimentology; Sediment; Geology; Isotopes of oxygen; Stable isotope ratio; Isotope geochemistry; Holocene; Proxy (statistics); Oxygen isotope ratio cycle; δ18O; Oceanography; Paleolimnology; Physical geography; Isotope; Environmental science; Hydrology (agriculture); Environmental chemistry; Geochemistry; Paleontology; Chemistry; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008379731,0.000160189,0.0004689791,0.0005708605,0.000073576,0.00001298923,0.0003582079,0.0003473605,0.001802083],"category_scores_gemma":[0.00003641374,0.0001295205,0.00009974623,0.0003102444,0.0005420011,0.0001321684,0.00002118955,0.0006422107,0.0001164287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002995747,"about_ca_system_score_gemma":0.000136822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009925244,"about_ca_topic_score_gemma":0.01903147,"domain_scores_codex":[0.9978052,0.000467699,0.0006765469,0.0002054047,0.0002040225,0.0006411353],"domain_scores_gemma":[0.999046,0.000248381,0.000349779,0.0001498558,0.0001072597,0.00009874268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001877061,0.00008061938,0.9957361,0.0000158276,0.00002796296,0.001440927,0.00006889812,0.001523892,0.00002995737,0.0001405822,0.00008677064,0.0006607963],"study_design_scores_gemma":[0.001070396,0.0004690021,0.9898134,0.00001586131,0.00002163424,0.002423967,0.00003875629,0.002266993,0.0001230556,0.002406309,0.001225917,0.0001246835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900333,0.00581463,0.00004578759,0.001180676,0.0006404817,0.0001186347,0.000005004967,0.000009162552,0.002152357],"genre_scores_gemma":[0.9982249,0.00007948271,0.001220378,0.0001324449,0.0002243459,7.054563e-7,0.00001377725,0.000003445784,0.0001005525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01893222,"threshold_uncertainty_score":0.9991104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698890158754324,"score_gpt":0.2562145426805033,"score_spread":0.2392256410929601,"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."}}