{"id":"W2792436422","doi":"10.1016/j.jas.2018.02.018","title":"Fish and resilience among Early Holocene foragers of southern Scandinavia: A fusion of stable isotopes and zooarchaeology through Bayesian mixing modelling","year":2018,"lang":"en","type":"article","venue":"Journal of Archaeological Science","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Oral and Maxillofacial Surgery Foundation; Alberta Agricultural Research Institute","keywords":"Mesolithic; Zooarchaeology; Holocene; Foraging; Subsistence agriculture; Geography; Taphonomy; Optimal foraging theory; Ecology; Isotope analysis; Archaeology; Biology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001965854,0.0001389065,0.0004360016,0.0001416353,0.0002475841,0.00001154297,0.0006410598,0.00009993437,0.0002572518],"category_scores_gemma":[0.0003558779,0.00009779425,0.00005984449,0.0006676016,0.01789928,0.0005604203,0.001097096,0.0002336776,0.000002588276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005919118,"about_ca_system_score_gemma":0.00003419987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008502353,"about_ca_topic_score_gemma":0.0003152974,"domain_scores_codex":[0.997869,0.0001388177,0.0006082313,0.0003734186,0.0005575533,0.0004529358],"domain_scores_gemma":[0.9986643,0.000222975,0.0006385462,0.0001958774,0.0001158843,0.0001624348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000123703,0.00005558008,0.9718853,0.00001004614,0.00001034099,0.00002578844,0.007229547,0.00290349,0.01563249,0.0002775161,0.00001126465,0.00183489],"study_design_scores_gemma":[0.00101408,0.004619022,0.8638756,0.0001632188,0.00008423164,0.0002895037,0.00283651,0.04578271,0.03102619,0.04983954,0.00007862502,0.0003907554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620144,0.00006315532,0.0369219,0.0003978857,0.00005938959,0.0001121475,0.000002753198,0.000004299346,0.0004240426],"genre_scores_gemma":[0.9709874,0.0001946228,0.0286338,0.000102236,0.00002628172,0.000001115513,1.018897e-7,0.00000489455,0.00004949954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1080097,"threshold_uncertainty_score":0.9847735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192628643993425,"score_gpt":0.2391766752999237,"score_spread":0.2272503888599895,"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."}}