{"id":"W3175365036","doi":"10.18357/kula.148","title":"Indigenous Knowledge Systems in Environmental Governance in Canada","year":2021,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Traditional knowledge; Indigenous; Corporate governance; Environmental ethics; Government (linguistics); Knowledge-based systems; Legislation; Political science; Environmental governance; Sociology of scientific knowledge; Sociology; Knowledge management; Business; Social science; Ecology; Law; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000650848,0.0001775784,0.0003997506,0.0001017843,0.001044163,0.00001220648,0.00008013374,0.0001162617,0.0001315024],"category_scores_gemma":[0.0006146684,0.0001788702,0.00002073575,0.0003958822,0.00004387831,0.0001819413,0.000216182,0.0002562351,0.00003263556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002660883,"about_ca_system_score_gemma":0.001042502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1981404,"about_ca_topic_score_gemma":0.9841514,"domain_scores_codex":[0.9978142,0.0004724585,0.0007101367,0.0003392604,0.0001569036,0.0005070526],"domain_scores_gemma":[0.9981651,0.001092662,0.0002201408,0.0001596748,0.0003087116,0.00005365763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002109905,0.0001386635,0.7348204,0.0003907526,0.00004102955,0.00000996935,0.2543732,0.00004789155,0.00009116611,0.00193253,0.004447254,0.00368604],"study_design_scores_gemma":[0.000645758,0.00001518836,0.768403,0.0002884093,0.00001207945,0.00000182679,0.1599737,0.0008430398,0.00003698,0.00008238496,0.06952462,0.0001729512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9101824,0.05281084,0.00001099308,0.0006231717,0.0007942372,0.0008514688,0.0000412858,0.00001937779,0.03466618],"genre_scores_gemma":[0.9610478,0.008745509,0.00001564773,0.00007196052,0.0001003315,0.0005564142,0.0001242023,0.00001540572,0.0293227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7860109,"threshold_uncertainty_score":0.8071992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04037516770690157,"score_gpt":0.38198104221525,"score_spread":0.3416058745083484,"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."}}