{"id":"W4385859459","doi":"10.1007/978-3-031-34593-7_83","title":"Development of Effective and Low-Cost Water Treatment Method for First Nations and Rural Communities in British Columbia, Canada","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Raw water; Water treatment; Filtration (mathematics); Manganese; Environmental science; Environmental engineering; Water source; Portable water purification; Waste management; Engineering; Water resource management; Materials science; Mathematics; Metallurgy","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":[0.0001925035,0.0001314858,0.0002442482,0.00005560304,0.00008066795,0.00003287408,0.00005624434,0.0001015902,0.00006398906],"category_scores_gemma":[0.00004852179,0.0001573013,0.00002026679,0.00003311511,0.00003388839,0.00004164286,0.00008058539,0.0001208619,4.884487e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005886546,"about_ca_system_score_gemma":0.00002005436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.536081,"about_ca_topic_score_gemma":0.9994383,"domain_scores_codex":[0.9993733,0.0000150919,0.0002186542,0.0001252086,0.000106404,0.0001613919],"domain_scores_gemma":[0.9991283,0.00072167,0.00002969818,0.00007770117,0.000007636316,0.00003496961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005022497,0.000153856,0.04363585,0.003881604,0.0004103524,0.00007946425,0.05509451,0.1558222,0.001809402,0.0005627435,0.0000916061,0.7384082],"study_design_scores_gemma":[0.01218712,0.0005987551,0.66319,0.01102059,0.0002714833,0.00008935566,0.001135324,0.1186811,0.0218557,0.008849634,0.1561803,0.005940658],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005814,0.0004606125,0.08751082,0.0004125696,0.0006028604,0.005579231,0.0006474276,0.0001264464,0.00407869],"genre_scores_gemma":[0.9959077,0.00004873324,0.002446775,0.00002935927,0.000009548235,0.000189616,0.0001133191,0.00002942944,0.00122553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7324675,"threshold_uncertainty_score":0.6414562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064256000303543,"score_gpt":0.2123681342852022,"score_spread":0.2017255742821667,"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."}}