{"id":"W3167971332","doi":"10.1016/j.jas.2021.105407","title":"Provenancing wood used in the Norse Greenlandic settlements: A biogeochemical study using hydrogen, oxygen, and strontium isotopes","year":2021,"lang":"en","type":"article","venue":"Journal of Archaeological Science","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Université Paris 13; Parks Canada; Animal and Plant Health Inspection Service; Arizona State University; World Wood Day Foundation; W. M. Keck Foundation; U.S. Department of Agriculture","keywords":"Biogeochemical cycle; Archaeology; Woodland; Human settlement; Isotopes of strontium; δ18O; Geology; Earth science; Oceanography; Geography; Environmental science; Strontium; Stable isotope ratio; Ecology; Chemistry","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":[0.003301297,0.000104087,0.0002503661,0.000153659,0.000282622,0.00003845013,0.0005751508,0.00006500136,0.0001863072],"category_scores_gemma":[0.0005279595,0.00005618646,0.00004683504,0.0007341225,0.001650829,0.0002667763,0.0001241148,0.0005022695,0.000004259845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004643359,"about_ca_system_score_gemma":0.0002434321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001561359,"about_ca_topic_score_gemma":0.003008183,"domain_scores_codex":[0.9978503,0.0004779476,0.0003601013,0.0002665954,0.0005655673,0.0004794727],"domain_scores_gemma":[0.9990784,0.00037226,0.000148268,0.0001411659,0.0001114534,0.0001484592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004124237,0.00009300125,0.9968648,0.000004319284,0.000009277449,0.0007831276,0.001370942,0.0001830929,0.0004204011,0.00001521692,0.000002972913,0.0002116165],"study_design_scores_gemma":[0.0005218067,0.0005148166,0.9913735,0.00001696064,0.00001284842,0.001159361,0.003078085,0.001786704,0.000264586,0.001172735,0.00002500016,0.00007355489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980119,0.0004993938,0.00004378314,0.001081466,0.00009199396,0.0001769729,0.000004559866,0.000002825575,0.00008714376],"genre_scores_gemma":[0.9988793,0.00003534734,0.0008767385,0.0001487542,0.00005202874,7.376973e-7,0.000001685226,8.276247e-7,0.000004651437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005491249,"threshold_uncertainty_score":0.608255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03504565710228914,"score_gpt":0.2870739596018239,"score_spread":0.2520283024995347,"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."}}