{"id":"W4327729034","doi":"10.1002/jqs.3511","title":"Late Pleistocene and Holocene transgression inferred from the sediments of the Gulf of San Jorge, central Patagonia, Argentina","year":2023,"lang":"en","type":"article","venue":"Journal of Quaternary Science","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Geological Survey of Canada","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia, Tecnología e Innovación Productiva; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Marine transgression; Holocene; Geology; Radiocarbon dating; Pleistocene; Fluvial; Meltwater; Paleontology; Sea level; Sedimentary rock; Oceanography; Quaternary; Glacial period; Structural basin","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":[],"consensus_categories":[],"category_scores_codex":[0.001370386,0.00008458104,0.0002018775,0.0001079342,0.0002606664,0.00001887452,0.000845596,0.00005146077,0.0001898926],"category_scores_gemma":[0.0001300388,0.00004168312,0.0000693872,0.0005599726,0.001175455,0.0002588736,0.00005786104,0.0002480211,0.00001052777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001518377,"about_ca_system_score_gemma":0.000165456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004490073,"about_ca_topic_score_gemma":0.0002262114,"domain_scores_codex":[0.9983494,0.0001994909,0.0003879397,0.0001426048,0.0005896004,0.000331015],"domain_scores_gemma":[0.9989555,0.0002919954,0.0003568958,0.0001871677,0.00009705772,0.0001113477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001226962,0.00001540858,0.9954158,0.000008916418,0.00001596508,0.00002550652,0.0006571442,0.0008599591,0.001552036,0.000003515776,0.0001080455,0.001215025],"study_design_scores_gemma":[0.0003385071,0.0001647379,0.9890727,0.00007459075,0.00001428418,0.00005492585,0.0001189853,0.004374532,0.005075159,0.0006293545,0.00003791074,0.00004433191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971467,0.0005374201,0.00001065511,0.001441633,0.0006443911,0.00008681953,0.00004713605,0.000003279795,0.00008200749],"genre_scores_gemma":[0.9994398,0.0003096312,0.00008305836,0.00006338541,0.00003900653,1.34379e-7,0.000004050681,0.00000137421,0.00005950836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006343102,"threshold_uncertainty_score":0.4331013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03138473582226566,"score_gpt":0.2716466985633703,"score_spread":0.2402619627411047,"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."}}