{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0124915,0.0001736748,0.0003061105,0.0001954217,0.0003233737,0.0001505798,0.0002991597,0.0001122296,0.004569218],"category_scores_gemma":[0.0001436179,0.0001026395,0.0001796409,0.0001708273,0.0004746805,0.0004628191,0.0002166965,0.0006428377,0.0002728173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005060777,"about_ca_system_score_gemma":0.00004003716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06185156,"about_ca_topic_score_gemma":0.05034228,"domain_scores_codex":[0.9941911,0.002798425,0.0008328796,0.0003116516,0.0008895665,0.0009763732],"domain_scores_gemma":[0.9992008,0.0001222557,0.00007414033,0.0003367202,0.00005872291,0.0002073296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002118619,0.0006863477,0.8850669,0.0000545157,0.00005186724,0.00006554842,0.02550122,0.0002190803,0.08479766,0.001564747,0.000120378,0.001659828],"study_design_scores_gemma":[0.002261502,0.0002891513,0.4639395,0.00007650363,0.00001508262,0.00008877004,0.005843522,0.00002253868,0.4703565,0.04832303,0.008349495,0.0004343807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986275,0.00003020424,0.00004226531,0.0003687394,0.0001134045,0.0001832167,0.000002073944,0.00001403835,0.01297113],"genre_scores_gemma":[0.9945356,0.00001873563,0.0001844799,0.00002586193,0.0000413044,0.00001134304,0.00001216489,0.00001389926,0.005156566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4211274,"threshold_uncertainty_score":0.9963408,"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."}}