{"id":"W2107317398","doi":"10.1080/00438243.2015.1025912","title":"Was it for walrus? Viking Age settlement and medieval walrus ivory trade in Iceland and Greenland","year":2015,"lang":"en","type":"article","venue":"World Archaeology","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Arts and Humanities Research Council; National Science Foundation; Danmarks Frie Forskningsfond; Forsknings- og Innovationsstyrelsen; Wenner-Gren Foundation; Leverhulme Trust; Danish Agency for Science and Higher Education; American-Scandinavian Foundation; Háskóli Íslands; Icelandic Centre for Research; Aarhus Universitet; National Geographic Society","keywords":"Viking Age; Archaeology; Geography; Bay; Settlement (finance); Stone Age; Fishery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003026683,0.0001271765,0.0001750827,0.0009321691,0.0009365531,0.0009648183,0.0003167913,0.0001912317,0.001699265],"category_scores_gemma":[0.0004129235,0.0001164205,0.00009552052,0.001049302,0.001268239,0.0005241093,0.0008812639,0.0002479621,0.0001946696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411333,"about_ca_system_score_gemma":0.0006650948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1254793,"about_ca_topic_score_gemma":0.3401574,"domain_scores_codex":[0.9998411,0.00003099174,0.000006569675,0.00002564767,0.00001816215,0.00007761643],"domain_scores_gemma":[0.999821,0.00002323255,0.00008037004,0.000007374829,0.00001840795,0.00004969649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001431202,0.00004174838,0.942535,0.00003566952,0.00002557499,0.0006458972,0.03285409,0.0001067038,0.001066693,0.001491259,0.0006686445,0.02038561],"study_design_scores_gemma":[0.000001253319,0.00001168144,0.983949,0.00002232244,0.000003188204,0.00007174838,0.01492122,0.00002482451,0.00003328026,0.00004939958,0.0009103446,0.000001671563],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982693,0.0002677444,0.00000865696,0.00005543983,0.000003356173,0.000001201964,0.00003906893,3.605162e-7,0.001354833],"genre_scores_gemma":[0.9990004,0.0002926172,0.00002378876,0.00002045452,0.000004947841,0.000001522735,0.00008325509,0.000001166201,0.0005719281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1254793,"threshold_uncertainty_score":0.2494978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07587453191906907,"score_gpt":0.3806386654902041,"score_spread":0.3047641335711351,"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."}}