{"id":"W2597625500","doi":"10.1139/as-2016-0038","title":"The value of museums in the production, sharing, and use of entomological data to document hyperdiversity of the changing North","year":2017,"lang":"en","type":"article","venue":"Arctic Science","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Arctic Sciences; U.S. Fish and Wildlife Service; Alaska Department of Fish and Game; National Park Service; Massachusetts Department of Fish and Game; National Science Foundation","keywords":"Documentation; Biodiversity; Latitude; Baseline (sea); Climate change; Geography; Population; Value (mathematics); High latitude; Production (economics); Distribution (mathematics); Invertebrate; Ecology; Environmental resource management; Physical geography; Biology; Computer science; Environmental science; Demography; Sociology; Fishery","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":[],"consensus_categories":[],"category_scores_codex":[0.001192973,0.0000394429,0.00005457185,0.00001533584,0.0005455394,0.00005110188,0.001784113,0.000008394257,0.0001147264],"category_scores_gemma":[0.001133557,0.0000187729,0.00001293511,0.0003155676,0.001617649,0.0003082942,0.002512911,0.00004150104,0.000003562285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006075966,"about_ca_system_score_gemma":0.00000836307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001549258,"about_ca_topic_score_gemma":0.00109095,"domain_scores_codex":[0.99912,0.00002642561,0.0001011232,0.0002137048,0.0003925331,0.0001462067],"domain_scores_gemma":[0.9988182,0.00005149114,0.0001180799,0.0009694937,0.00001800456,0.00002474139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005042254,0.00002850414,0.9943599,0.000003437854,0.00000116827,2.336305e-7,0.001842714,0.00003313996,0.001839383,0.001323071,0.00007850065,0.000484968],"study_design_scores_gemma":[0.00003734009,0.0000176069,0.9961715,0.00001013893,0.000004333305,0.000003041207,0.001744761,0.0001012452,0.001291026,0.00007449154,0.0005202466,0.00002426981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972804,0.000006391478,0.000003261663,0.002205406,0.00009813159,0.0001662085,0.00001078386,0.00000132359,0.0002281416],"genre_scores_gemma":[0.9998164,0.00003655104,0.00003070094,0.00007098697,0.000004173381,0.000002175801,5.215028e-7,6.820235e-7,0.00003787955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002535977,"threshold_uncertainty_score":0.5960295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1086505717329998,"score_gpt":0.2992187178082746,"score_spread":0.1905681460752749,"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."}}