{"id":"W7128716160","doi":"10.23636/dk2v-r539","title":"Indigenous data sovereignty in Canada in principles and practice","year":2025,"lang":"en","type":"article","venue":"British Library Research Repository","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sovereignty; Indigenous; Government (linguistics); State (computer science); Work (physics)","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":[0.001930929,0.00006935668,0.0001602991,0.0001482967,0.0008339185,0.0004108123,0.0006822995,0.00007509266,0.00002302669],"category_scores_gemma":[0.00185956,0.00009456176,0.00001048971,0.0008265161,0.0003910346,0.001843111,0.001073823,0.000633402,0.000001027921],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003571789,"about_ca_system_score_gemma":0.008255501,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900268,"about_ca_topic_score_gemma":0.9951652,"domain_scores_codex":[0.9964391,0.001720214,0.0002568604,0.0004297472,0.0006155733,0.0005385199],"domain_scores_gemma":[0.9977142,0.00175387,0.00003557874,0.0003311213,0.00005841236,0.0001068198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002518291,0.0004707404,0.6737258,0.0002603858,0.0001006682,0.009745975,0.02626277,0.000006344087,0.00001637324,0.07475384,0.1324825,0.08192266],"study_design_scores_gemma":[0.0003924346,0.00001717476,0.3668356,0.0003987807,0.00000436392,0.00003698306,0.05813953,0.00002286882,0.00002433143,0.003610934,0.5703375,0.0001795341],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4000853,0.01415478,1.920619e-7,0.003532728,0.0001599358,0.0003979399,0.00003503169,0.00002665523,0.5816074],"genre_scores_gemma":[0.9852121,0.006963002,0.000105205,0.0002788126,0.0001123392,0.00003139431,0.00001611273,0.000008196692,0.007272801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5851268,"threshold_uncertainty_score":0.9973668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07218592057630793,"score_gpt":0.3600814462949643,"score_spread":0.2878955257186564,"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."}}