{"id":"W2523505047","doi":"10.2166/wqrj.2003.005","title":"Portrait of Drinking Water Quality in Small Quebec Municipal Utilities","year":2003,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Ministry of Environment; Université Laval; United States Agency for International Development","keywords":"Fecal coliform; Water quality; Environmental science; Significant difference; Distribution (mathematics); Environmental engineering; Water resource management; Hydrology (agriculture); Statistics; Mathematics; Engineering; Ecology","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":[0.0001427205,0.0001040735,0.00008998241,0.001418015,0.0007549551,0.0005705655,0.000188157,0.0001641923,0.003274492],"category_scores_gemma":[0.000383925,0.00005401562,0.0001137369,0.002083015,0.0003656313,0.0001728176,0.0002123214,0.0001879407,0.0001462892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004363225,"about_ca_system_score_gemma":0.001087721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8330973,"about_ca_topic_score_gemma":0.9285389,"domain_scores_codex":[0.9998976,0.00001606358,0.000002482315,0.0000140207,0.00002987271,0.00003990474],"domain_scores_gemma":[0.9995835,0.00006090248,0.00008546432,0.00001226769,0.000174547,0.00008326986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002750505,0.00005297817,0.8884749,0.0001388716,0.00004997904,0.001303962,0.01020982,0.002311659,0.01188267,0.001386096,0.00711306,0.07680084],"study_design_scores_gemma":[0.000001092655,0.00002091121,0.9920585,0.00001138642,0.000003988227,0.00009629151,0.002991467,0.0005751844,0.000282072,0.00004014115,0.003911207,0.000007848002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898025,0.0003369456,0.0004157762,0.0002634157,0.000004692893,0.0000164343,0.001251582,0.00002863475,0.00787992],"genre_scores_gemma":[0.9969837,0.0001290863,0.000147297,0.00003309074,0.00000243145,0.000004388045,0.0003608682,0.000003375348,0.002335797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1669027,"threshold_uncertainty_score":0.3357713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1625797496742185,"score_gpt":0.3876321856520014,"score_spread":0.2250524359777829,"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."}}