{"id":"W1996660327","doi":"10.1002/esp.1268","title":"Tie channel sedimentation rates, oxbow formation age and channel migration rate from optically stimulated luminescence (OSL) analysis of floodplain deposits","year":2005,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ohio State University; Geological Society of America; U.S. Department of Energy; National Science Foundation","keywords":"Geology; Channel (broadcasting); Optically stimulated luminescence; Silt; Sedimentation; Hydrology (agriculture); Sediment; Floodplain; Radiocarbon dating; Coring; Optical dating; Fluvial; Geomorphology; Holocene; Oceanography; Paleontology; Quartz; Drilling; Geography; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003203931,0.0001440535,0.0002800905,0.0001355864,0.0001888645,0.00006060204,0.00007831937,0.0001255604,0.0001105222],"category_scores_gemma":[0.00006018641,0.0001058012,0.00002759333,0.000519778,0.0001112866,0.0005840621,0.00001297181,0.0001149089,0.00001444393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.098205e-7,"about_ca_system_score_gemma":0.00002585306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006299056,"about_ca_topic_score_gemma":0.04182171,"domain_scores_codex":[0.9989994,0.00006541704,0.0002795412,0.0002480123,0.0001541832,0.0002534243],"domain_scores_gemma":[0.999338,0.0002217377,0.0001250356,0.00008753989,0.0001213218,0.0001063865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002076183,0.0000220078,0.9766548,0.0001053931,0.0001390566,0.000007516936,0.001471709,0.02047675,0.000168277,0.000002174136,0.000006831685,0.0007379154],"study_design_scores_gemma":[0.0004601222,0.0001417245,0.7175926,0.00002584123,0.0001413838,0.000006491345,0.0002463959,0.2778575,0.003306301,0.00007372642,0.0000229844,0.0001249253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963183,0.001886847,0.0008703955,0.0005202613,0.00003096034,0.0001962634,0.00007373131,0.00002362074,0.00007960945],"genre_scores_gemma":[0.9970692,0.0008858523,0.0006231483,0.00009568616,0.00001919276,0.000001724133,0.001244245,0.000002579221,0.00005831876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2590621,"threshold_uncertainty_score":0.9756625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415508039321632,"score_gpt":0.2387609550783432,"score_spread":0.2246058746851269,"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."}}