{"id":"W4404921810","doi":"10.1016/j.quascirev.2024.109063","title":"Quaternary landscape evolution of the river Seine (France): Synthesis and new results from ESR dating and magnetostratigraphy of fluvial and cave deposits","year":2024,"lang":"en","type":"article","venue":"Quaternary Science Reviews","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Santé et de Services Sociaux de la Montagne","funders":"Natural Environment Research Council; Université de Bordeaux; Labex; Institute of Environmental Science and Research; British Geological Survey","keywords":"Fluvial; Cave; Magnetostratigraphy; Quaternary; Geology; Paleontology; Archaeology; Geography; Paleomagnetism","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":[0.001122342,0.000124386,0.0002874831,0.0001208794,0.000185988,0.0000428944,0.0002724326,0.00006202261,0.00006236988],"category_scores_gemma":[0.0002086614,0.00007436837,0.00004022342,0.0004074243,0.001140471,0.0003498237,0.00005785343,0.0001485357,0.000009589371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.775934e-7,"about_ca_system_score_gemma":0.00008804142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004334488,"about_ca_topic_score_gemma":0.001125132,"domain_scores_codex":[0.9985235,0.0002399646,0.0003830034,0.0004018345,0.0002260669,0.000225607],"domain_scores_gemma":[0.9990533,0.0004623924,0.0001320688,0.0002170748,0.00002308152,0.0001120616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003489756,0.000003332419,0.9691164,0.0001286153,0.000008875484,0.000008795179,0.0004948099,0.000005989994,0.0008656952,0.00002550504,0.00003418164,0.02927285],"study_design_scores_gemma":[0.0001549636,0.000118295,0.9847453,0.0004740912,0.00003592045,0.00009034173,0.00006360059,0.01240688,0.001019609,0.0005346228,0.0002643028,0.00009210088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9234751,0.0752014,0.00003306312,0.0003579397,0.0001461174,0.0002074917,0.00006021098,0.000007689606,0.0005109447],"genre_scores_gemma":[0.9911239,0.007974585,0.0007418164,0.00001933771,0.00003396386,0.000001161544,0.000006449837,0.000001567531,0.0000972538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06764872,"threshold_uncertainty_score":0.6552477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441291585804443,"score_gpt":0.2532390879493594,"score_spread":0.228826172091315,"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."}}