{"id":"W134270804","doi":"","title":"Marine04 Marine radiocarbon age calibration, 26 ? 0 ka BP","year":2004,"lang":"en","type":"article","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Livermore National Laboratory; Division of Ocean Sciences; Queen's University Belfast; Leverhulme Trust; Queen's University; Woods Hole Oceanographic Institution; U.S. Department of Energy; National Science Foundation","keywords":"Radiocarbon dating; Geology; Calibration; Varve; Calibration curve; Physical geography; Foraminifera; Paleontology; Dendrochronology; Oceanography; Geography; Sediment; Statistics; Benthic zone","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007337061,0.0002672187,0.0004927795,0.000415916,0.0003378004,0.00003646534,0.001108657,0.0001776876,0.003082335],"category_scores_gemma":[0.00001879244,0.0003312875,0.0002333285,0.0007954082,0.001150392,0.002536955,0.0003613306,0.0003733714,0.0004942374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006982033,"about_ca_system_score_gemma":0.0002858431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002057535,"about_ca_topic_score_gemma":0.03120603,"domain_scores_codex":[0.9983259,0.00009658056,0.0002137643,0.0005022573,0.0003628211,0.0004986671],"domain_scores_gemma":[0.9987719,0.0001587821,0.0002393229,0.0004238951,0.00007296776,0.0003331483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004145724,0.0001254832,0.9931666,0.00007502957,0.0001250754,0.00097069,0.00005883151,0.001657278,2.906637e-8,0.0002305567,0.0007067872,0.002469101],"study_design_scores_gemma":[0.001281946,0.0003218537,0.9891673,0.00002141364,0.00005127854,0.00004297973,0.00004874168,0.0002561582,0.000005357166,0.0005812601,0.007915175,0.000306576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690244,0.00006226765,0.0001730598,0.000706174,0.000083206,0.0002490987,0.0005596715,0.0001400385,0.02900209],"genre_scores_gemma":[0.9904265,0.0001971657,0.00099209,0.00007672943,0.00002628488,5.820797e-9,0.00193176,0.000009503516,0.006339911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02914849,"threshold_uncertainty_score":0.9999139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009893241277285487,"score_gpt":0.1640113108767097,"score_spread":0.1541180695994242,"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."}}