{"id":"W4323656816","doi":"10.1130/g50938.1","title":"Dating rare earth element enrichment in deep-sea sediments using U-Pb geochronology of bioapatite","year":2023,"lang":"en","type":"article","venue":"Geology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China; Science Foundation Ireland","keywords":"Geology; Geochronology; Sedimentary rock; Rare-earth element; Deep sea; Geochemistry; Mineralization (soil science); Carbonate; Oceanography; Paleontology; Rare earth; Mineralogy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007140525,0.0001405576,0.0003350809,0.0004699325,0.0001217461,0.000004678257,0.0002705324,0.0002201587,0.00486171],"category_scores_gemma":[0.00009689356,0.0001325396,0.0000422733,0.0005741489,0.0003483926,0.00007592796,0.00009397508,0.0002640337,0.0008225279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002752177,"about_ca_system_score_gemma":0.00008938395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002062047,"about_ca_topic_score_gemma":0.01206819,"domain_scores_codex":[0.9979137,0.0003810755,0.0004057477,0.0003589658,0.0001574696,0.0007830753],"domain_scores_gemma":[0.9991689,0.0003489995,0.0001238756,0.0002383411,0.00004345724,0.00007645784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004604218,0.0000200273,0.9899805,0.00003386515,0.00003347995,0.000119424,0.0002215224,0.007295134,0.0001175639,0.00009751722,0.00005204929,0.001982835],"study_design_scores_gemma":[0.0006699021,0.000208107,0.9611323,0.00001140827,0.000008585902,0.00005663086,0.0002681919,0.03593533,0.0003239728,0.0007563571,0.0005074712,0.0001217449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960463,0.000449103,0.00009667684,0.0004215617,0.0003815032,0.0002260714,0.00001944094,0.00003604367,0.00232329],"genre_scores_gemma":[0.9979946,0.0001106162,0.001200356,0.0001603385,0.00003369554,0.00000459584,0.0003506573,0.000003105072,0.0001420331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02884824,"threshold_uncertainty_score":0.9999555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03171115058783894,"score_gpt":0.2800434356392104,"score_spread":0.2483322850513715,"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."}}