{"id":"W3201285744","doi":"","title":"Picturing Pikialasorsuaq: Ethics and Effectiveness of Representing Inuit Knowledge in an Online Atlas","year":2019,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Atlas (anatomy); Data science; Geography; Cartography; Computer science; Geology; Paleontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001619734,0.0002028608,0.0005276545,0.0003181394,0.001018322,0.000006825258,0.0001898036,0.0004167132,0.0001825704],"category_scores_gemma":[0.0002499629,0.0002060852,0.00006558653,0.0003699502,0.0001074401,0.0003773284,0.0004943256,0.001239781,0.00004002661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003117101,"about_ca_system_score_gemma":0.0003906979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006557098,"about_ca_topic_score_gemma":0.05507122,"domain_scores_codex":[0.9976226,0.0005998129,0.0004311862,0.0004416484,0.0001483808,0.00075639],"domain_scores_gemma":[0.9972433,0.001723846,0.0003129467,0.0002923706,0.0003199318,0.0001076153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000226117,0.0001165822,0.9059503,0.0007122289,0.00005019682,0.00002992821,0.08929285,0.00007660149,0.0008367786,0.002618372,0.00001888563,0.00007116701],"study_design_scores_gemma":[0.001910364,0.0003506583,0.8913446,0.0006389258,0.00004398808,0.0000031465,0.1024846,0.000292211,0.0001401294,0.0001207654,0.002390771,0.0002798365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947993,0.00008815731,0.000008656363,0.00003193573,0.0004074279,0.000841306,0.00002905967,0.00005099182,0.003743163],"genre_scores_gemma":[0.9982572,0.00005853312,0.0001421028,0.00004840307,0.00007619281,0.000004843818,0.00005733166,0.00003141334,0.001323976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04851412,"threshold_uncertainty_score":0.9912414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04934591721521999,"score_gpt":0.3708255187462058,"score_spread":0.3214796015309859,"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."}}