{"id":"W4381799546","doi":"10.14324/111.444/ucloe.000060","title":"Decolonising Canadian water governance: lessons from Indigenous case studies","year":2023,"lang":"en","type":"article","venue":"UCL Open Environment","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Indigenous; Sanitation; Corporate governance; Political science; Government (linguistics); Praxis; Politics; Economic growth; Public administration; Environmental planning; Sociology; Business; Geography; Engineering; Economics; Ecology; Law; Environmental engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008840646,0.0006279923,0.000609322,0.002503788,0.03515907,0.00646643,0.003164466,0.002311388,0.00399652],"category_scores_gemma":[0.01272207,0.0003270629,0.0005308312,0.005692092,0.01514078,0.003271836,0.006575727,0.003691348,0.000176702],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1424368,"about_ca_system_score_gemma":0.1234032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885989,"about_ca_topic_score_gemma":0.9966848,"domain_scores_codex":[0.9913833,0.003301295,0.0002118136,0.0004574276,0.001878255,0.002767972],"domain_scores_gemma":[0.990658,0.004230593,0.000367713,0.0005100591,0.003074874,0.001158748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008865859,0.0001783168,0.01396074,0.0005739231,0.00004256613,0.004867521,0.7846137,0.001828559,0.0006932638,0.1142761,0.02083705,0.05803952],"study_design_scores_gemma":[0.00002173749,0.00005126458,0.01337671,0.00060716,0.00004785271,0.000539788,0.8028601,0.001025472,0.0004894849,0.00765251,0.1732609,0.00006715398],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7263924,0.007087188,0.005653692,0.04120567,0.000274946,0.0005521602,0.0004485776,0.00008008075,0.2183053],"genre_scores_gemma":[0.9693326,0.004795108,0.004645471,0.002071179,0.00003492766,0.0001614812,0.0001395668,0.00005127922,0.01876842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1424368,"threshold_uncertainty_score":0.9946518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04691374758707246,"score_gpt":0.3337880708892318,"score_spread":0.2868743233021594,"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."}}