{"id":"W2532933509","doi":"10.5942/jawwa.2016.108.0167","title":"Monitoring‐Based Framework to Detect and Manage Lead Water Service Lines","year":2016,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Canadian Water Network","keywords":"Lead (geology); Environmental science; Flushing; Piping; Risk analysis (engineering); Environmental engineering; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001713635,0.0001488589,0.0001393914,0.00004784396,0.0001277291,0.0000834888,0.00008046326,0.00007162817,0.0001815434],"category_scores_gemma":[0.00002293504,0.00007755635,0.00003635984,0.0001829837,0.00003173092,0.0002615935,0.00008980444,0.00005995895,0.001448584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004129798,"about_ca_system_score_gemma":0.00000113031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033347,"about_ca_topic_score_gemma":0.000130267,"domain_scores_codex":[0.998897,0.00006330952,0.0001408164,0.0002986637,0.0002256186,0.0003745506],"domain_scores_gemma":[0.9996105,0.00007271265,0.00005646929,0.0001598137,0.00001483903,0.00008562674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004078834,0.00002648222,0.8210633,0.00000296539,0.00002741934,0.000002273672,0.0009283993,0.0001890921,0.05513214,4.834909e-7,0.0001843989,0.1224022],"study_design_scores_gemma":[0.0005842961,0.0002090492,0.5493322,0.0001076451,0.00006644159,7.160128e-7,0.0001115684,0.00006729326,0.4440218,0.0010293,0.004058904,0.0004107495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872014,0.000004316457,0.005762792,0.006341839,0.0001730932,0.0001579309,0.000001688376,0.00009528386,0.0002616578],"genre_scores_gemma":[0.9957488,0.00001431283,0.002367981,0.000562322,0.0001376732,0.00003970337,0.0000056213,0.00001896276,0.001104646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3888897,"threshold_uncertainty_score":0.9993289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006005372268020298,"score_gpt":0.2190851975359306,"score_spread":0.2130798252679103,"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."}}