{"id":"W4402903903","doi":"10.1126/sciadv.adq4127","title":"Greenland Norse walrus exploitation deep into the Arctic","year":2024,"lang":"en","type":"article","venue":"Science Advances","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Nunavut Research Institute; Canadian Museum of Nature","funders":"Horizon 2020; Háskóli Íslands; Arts and Humanities Research Council; Lunds Universitet; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Arctic; Indigenous; Geography; The arctic; Archaeology; Range (aeronautics); Circumpolar star; Human settlement; Fishery; Oceanography; Ecology; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001817346,0.0001696495,0.0001577377,0.0005432138,0.001520472,0.0009218807,0.0001442743,0.000152272,0.001952217],"category_scores_gemma":[0.000314656,0.00009539917,0.00009928765,0.000745257,0.0005461838,0.0003412007,0.0007368971,0.0002016491,0.000231378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645101,"about_ca_system_score_gemma":0.001047328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.259981,"about_ca_topic_score_gemma":0.6954802,"domain_scores_codex":[0.9998803,0.00001146302,0.000002639415,0.00004039187,0.00002450284,0.00004062695],"domain_scores_gemma":[0.9998405,0.00002540359,0.00003717712,0.00001410035,0.00004706455,0.00003575029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002876431,0.00005114672,0.8529891,0.00008032386,0.00006205324,0.001798178,0.03295109,0.0004598637,0.03981104,0.003164737,0.001826545,0.06651828],"study_design_scores_gemma":[0.000002925571,0.0000400337,0.9554822,0.00008630579,0.00002063948,0.0003855923,0.02112931,0.0003717064,0.002313255,0.0004634239,0.01969123,0.00001335636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912775,0.0001190332,0.0002383354,0.0000832294,0.000006720581,0.000003883421,0.0002182894,0.000006545456,0.008046564],"genre_scores_gemma":[0.99555,0.0001435184,0.0005286486,0.00006282124,0.000002569699,0.000003343732,0.0001868451,0.000009692209,0.003512542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.259981,"threshold_uncertainty_score":0.5169356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008956088409681685,"score_gpt":0.2302409022280213,"score_spread":0.2212848138183397,"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."}}