{"id":"W4386945969","doi":"10.1016/j.polar.2023.101002","title":"Indigenous place names in arctic Canada: A publicly accessible inventory of projects","year":2023,"lang":"en","type":"article","venue":"Polar Science","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Toponymy; Indigenous; Arctic; Resource (disambiguation); Index (typography); The arctic; Government (linguistics); Geography; Environmental resource management; Library science; Ecology; Computer science; Archaeology; World Wide Web; Environmental science; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002385947,0.00008970987,0.0002149646,0.0004182773,0.002372621,0.000009546678,0.0005504057,0.00006644041,0.00005641879],"category_scores_gemma":[0.000902885,0.00007833079,0.00001706642,0.002492938,0.0002136715,0.0002195115,0.0004937264,0.0003255211,0.00005985669],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118799,"about_ca_system_score_gemma":0.01465979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9372214,"about_ca_topic_score_gemma":0.9925774,"domain_scores_codex":[0.9974164,0.0001274306,0.0003418509,0.0002873378,0.0003878977,0.00143903],"domain_scores_gemma":[0.9990406,0.0001807575,0.0001733708,0.0002496402,0.0002482119,0.0001073987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007355963,0.0000271104,0.9322352,0.0001803578,0.000004337581,0.00001545758,0.06516314,0.00001699464,0.0001677406,0.0003667942,0.001653861,0.0001616259],"study_design_scores_gemma":[0.000370756,0.00009816646,0.9373035,0.00009461844,0.000004179527,0.000002202095,0.05491172,0.0003407767,0.0001083052,0.0001801746,0.006424516,0.0001610672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929315,0.0002184415,0.000001092224,0.0009465711,0.0008010228,0.0006569989,0.00001288236,0.000038764,0.00439272],"genre_scores_gemma":[0.9981955,0.00005982298,0.00003849891,0.0005528551,0.00004324426,0.00010022,0.000002563671,0.000008468985,0.0009988317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05535602,"threshold_uncertainty_score":0.9989262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06176971446236267,"score_gpt":0.3766982339431733,"score_spread":0.3149285194808106,"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."}}