{"id":"W2292169105","doi":"10.14430/arctic4546","title":"Identification of Bird Species Used to Make a Viking Age Feather Pillow","year":2016,"lang":"en","type":"article","venue":"ARCTIC","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Smithsonian Libraries; Federal Aviation Administration; Helsingin Yliopisto; Smithsonian Institution","keywords":"Eider; Feather; Charadriiformes; Cormorant; Flight feather; Heron; Aythya; Geography; Waterfowl; Anseriformes; Sterna; Zoology; Ecology; Plumage; Biology; Predation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001506468,0.0000410311,0.00005317644,0.00002077589,0.00004123713,0.000005708904,0.00009199493,0.00002462998,0.0009629912],"category_scores_gemma":[0.0000890654,0.00003023807,0.00002016504,0.0001063798,0.00007215704,0.00008190448,0.00003088392,0.00001779178,0.001292466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005815981,"about_ca_system_score_gemma":0.000002958576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001289133,"about_ca_topic_score_gemma":0.001310377,"domain_scores_codex":[0.9995499,0.0000256863,0.0001168643,0.0001222322,0.000093339,0.00009197149],"domain_scores_gemma":[0.9997085,0.00005851356,0.00005200905,0.0001519173,0.000004835831,0.00002422208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005666239,0.00001742127,0.7518381,0.000001748433,0.000003344823,0.000001123967,0.0002931828,0.000009808635,0.2455785,0.0001897701,0.0001726026,0.001888723],"study_design_scores_gemma":[0.0001037129,0.00002347335,0.9902881,0.00001131335,0.000005358907,9.605567e-7,0.00002199307,0.00001004963,0.006903414,0.0009932946,0.001592838,0.00004549886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959703,0.000001686262,0.0007571842,0.002434582,0.00008755887,0.00009583548,0.000001023939,0.00002355591,0.0006282703],"genre_scores_gemma":[0.9942684,0.000001770076,0.0001383874,0.0003439392,0.00001593192,0.00001125984,3.2364e-7,0.000006361102,0.005213675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2386751,"threshold_uncertainty_score":0.9999503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086496883315534,"score_gpt":0.2276118828715486,"score_spread":0.2067469140383933,"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."}}