{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003694185,0.00006774842,0.000140369,0.00006225736,0.0003235534,0.00005603084,0.00005904925,0.00001886911,0.000025835],"category_scores_gemma":[0.000003672798,0.00003840947,0.00001786501,0.0000869382,0.00001372794,0.0001397536,0.00006030424,0.00007322957,0.000008846785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006124262,"about_ca_system_score_gemma":0.0000401252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2676066,"about_ca_topic_score_gemma":0.8435755,"domain_scores_codex":[0.9992407,0.00003000228,0.0002917676,0.00009064749,0.0001003195,0.0002465389],"domain_scores_gemma":[0.9997874,0.00001635411,0.00003587278,0.00004838106,0.00001015072,0.0001017845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002408007,0.0001113169,0.9739941,0.0001251112,0.00002020133,0.00001864312,0.0137951,0.003637813,0.0005333104,0.00002189325,0.005853464,0.001864973],"study_design_scores_gemma":[0.001529469,0.0002550216,0.851555,0.0006795157,0.00002106571,0.00007324484,0.00141924,0.0002862375,0.008385541,0.0001890025,0.13538,0.0002266813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914568,0.0001727074,0.0001313253,0.006758062,0.0004085073,0.0001103715,0.000001252833,0.000003696451,0.0009572493],"genre_scores_gemma":[0.9988122,0.00006663041,0.00002958319,0.0002026408,0.00004004681,0.000003550169,0.000001967433,0.000003399319,0.0008399615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5759688,"threshold_uncertainty_score":0.7372704,"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."}}