{"id":"W2129837049","doi":"10.2458/56.17160","title":"Analyzing Radiocarbon Reservoir Offsets Through Stable Nitrogen Isotopes and Bayesian Modeling: A Case Study Using Paired Human and Faunal Remains from the Cis-Baikal Region, Siberia","year":2014,"lang":"en","type":"article","venue":"Radiocarbon","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Environment Research Council","keywords":"Radiocarbon dating; Archaeology; Stable isotope ratio; Isotope analysis; Geology; Holocene; Physical geography; Isotope; δ15N; δ13C; Geography; Oceanography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005440699,0.0002579987,0.0003492794,0.00004326449,0.00139115,0.0000562402,0.0001687622,0.00009214638,0.00002467194],"category_scores_gemma":[0.00003680176,0.0001870907,0.00005066649,0.0001445473,0.0004313675,0.000217058,0.0001011333,0.0002328528,0.000001317619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001581119,"about_ca_system_score_gemma":0.00001216282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02816845,"about_ca_topic_score_gemma":0.01164699,"domain_scores_codex":[0.9980709,0.0004538566,0.0003031412,0.0005527327,0.0002097419,0.0004096341],"domain_scores_gemma":[0.999239,0.0002019798,0.00011013,0.0003120321,0.00001138836,0.0001254829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005830774,0.0000295577,0.9900063,0.000006566984,0.0001049289,0.0002573604,0.005873343,0.00281088,0.00006628717,0.00003979269,0.00002104136,0.0007256503],"study_design_scores_gemma":[0.001776808,0.0007487099,0.227491,0.0000732484,0.000317844,0.0009085493,0.01242958,0.7402388,0.00005485026,0.01510349,0.0002180416,0.0006390511],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993427,0.00391991,0.001630878,0.0002534298,0.00008128298,0.0003750655,0.00001737078,0.00003660233,0.0002584504],"genre_scores_gemma":[0.9987796,0.0001758925,0.0006469724,0.0001428111,0.0001967354,0.000003410453,0.00002548235,0.00001036563,0.00001870955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7625152,"threshold_uncertainty_score":0.9999089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03690554640657253,"score_gpt":0.2408594460843864,"score_spread":0.2039538996778139,"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."}}