{"id":"W4413991608","doi":"10.2166/wh.2025.346","title":"Weaving knowledge systems to eradicate drinking water crises in First Nations across Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Water and Health","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Health; Saskatchewan Health Authority; Global Institute for Water Security; University of Saskatchewan","funders":"Graduate School of Biomedical Sciences, University of Texas Southwestern Medical Center","keywords":"Weaving; Geography; Economic geography; Economic growth; Environmental planning; Political science; Economy; Regional science; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005365128,0.0003399832,0.0002802361,0.003222043,0.01307718,0.009476117,0.001898195,0.001333376,0.002867993],"category_scores_gemma":[0.0104734,0.0001793506,0.0003148381,0.002635515,0.009058624,0.003123847,0.007695225,0.001641458,0.0001770531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09425227,"about_ca_system_score_gemma":0.2813779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.963717,"about_ca_topic_score_gemma":0.9745057,"domain_scores_codex":[0.9960362,0.001290541,0.0001098618,0.0002358711,0.000802546,0.001525033],"domain_scores_gemma":[0.9922544,0.001848017,0.0004373027,0.0004229584,0.002604975,0.002432271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001779781,0.0005591626,0.0386045,0.001110778,0.0001206331,0.001998377,0.1355583,0.008361959,0.004549857,0.1906247,0.03614276,0.5821911],"study_design_scores_gemma":[0.00009270896,0.000215354,0.06138948,0.001661309,0.0001338511,0.0002720578,0.2952738,0.008193835,0.003825604,0.05284083,0.5759429,0.0001581496],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5771517,0.006561794,0.01980298,0.1042496,0.0003343757,0.001133118,0.0003281482,0.0004344744,0.2900039],"genre_scores_gemma":[0.9795042,0.00167984,0.008654865,0.002084047,0.00001687828,0.00008470323,0.00009580172,0.00001758046,0.007862052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09425227,"threshold_uncertainty_score":0.6838512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904135230685065,"score_gpt":0.2966639580820201,"score_spread":0.2776226057751694,"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."}}