{"id":"W168295889","doi":"10.1023/a:1025811921502","title":"Trihalomethanes in Drinking Water of Greater Québec Region (Canada): Occurrence, Variations and Modelling","year":2003,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Bundesinstitut für Sportwissenschaft","keywords":"Environmental science; Water quality; Raw water; Seasonality; Spatial distribution; Multivariate statistics; Surface water; Residence; Sampling (signal processing); Environmental engineering; Hydrology (agriculture); Ecology; Statistics; Demography; Mathematics","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":[0.00009752411,0.0001176025,0.0001140894,0.00003663267,0.0001002488,0.00001686044,0.00002889943,0.00003065424,0.00006529297],"category_scores_gemma":[0.000001124478,0.00009287426,0.0000155308,0.00003775053,0.00005774316,0.0001506078,0.00004654373,0.00007087635,0.000001842916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002875455,"about_ca_system_score_gemma":0.0000108195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08706138,"about_ca_topic_score_gemma":0.005127355,"domain_scores_codex":[0.9992345,0.00004765955,0.0001628648,0.0002226234,0.0001646518,0.0001677067],"domain_scores_gemma":[0.9998039,0.00002207478,0.00003739773,0.00008421886,6.348297e-7,0.00005174578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003946489,0.000064125,0.9927444,0.000004636946,0.000007282383,0.000005940816,0.0003571781,0.002133418,0.002810111,0.00001946957,0.000003004822,0.001846422],"study_design_scores_gemma":[0.0009173852,0.000100815,0.9508117,0.00004310067,0.0000364848,0.00001886957,0.0005262695,0.00120804,0.0447128,0.0002847447,0.001074151,0.0002656082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980914,0.00006149056,0.0006540546,0.00004176696,0.0001018062,0.0001041749,0.00000207642,0.000006118747,0.0009370917],"genre_scores_gemma":[0.9989576,0.00009603809,0.0007811838,0.000003376907,0.00001181013,0.00001818291,0.000005363544,0.000005678493,0.0001207092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08193402,"threshold_uncertainty_score":0.919018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574312917400918,"score_gpt":0.2192343888204033,"score_spread":0.2034912596463941,"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."}}