{"id":"W2598408517","doi":"10.2166/wp.2017.078","title":"Analysis of challenges and opportunities to meaningful Indigenous engagement in sustainable water and wastewater management","year":2017,"lang":"en","type":"article","venue":"Water Policy","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; University of Guelph","keywords":"Indigenous; Sanitation; Status quo; Business; Sustainability; Community engagement; Wastewater; Environmental planning; Autonomy; Environmental resource management; Political science; Public relations; Engineering; Economics; Geography; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01202436,0.0002295509,0.0003620279,0.001135292,0.008502516,0.008120248,0.001278215,0.001606454,0.00739512],"category_scores_gemma":[0.01711551,0.0002277107,0.0005443666,0.001738993,0.006821105,0.006037999,0.00745783,0.002575521,0.000379445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01040295,"about_ca_system_score_gemma":0.02080866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02083311,"about_ca_topic_score_gemma":0.0443377,"domain_scores_codex":[0.9870749,0.007278295,0.0002814586,0.0005539884,0.001705977,0.003105515],"domain_scores_gemma":[0.9879963,0.006674633,0.001098274,0.000433423,0.00181955,0.001977853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001277449,0.0002467982,0.04130973,0.0008543434,0.00005076404,0.001271388,0.6567728,0.0008197278,0.001112054,0.2173921,0.004035388,0.07600714],"study_design_scores_gemma":[0.000006473429,0.00006122777,0.02321861,0.0004228973,0.00002071391,0.000121859,0.9024852,0.0007938324,0.0002967012,0.02923097,0.04332023,0.00002127298],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8224509,0.001413375,0.004496347,0.03591885,0.0001537632,0.00019425,0.0001146295,0.00001738764,0.1352405],"genre_scores_gemma":[0.9954144,0.000554674,0.0008974642,0.0004065795,0.00002133056,0.00008252084,0.00002689058,0.000006276319,0.002589814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02083311,"threshold_uncertainty_score":0.07547903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05320585176951826,"score_gpt":0.3273111540217665,"score_spread":0.2741053022522483,"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."}}