{"id":"W3023017908","doi":"10.1002/awwa.1496","title":"Lead in Drinking Water: A Canadian Perspective","year":2020,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lead (geology); Legislation; Flexibility (engineering); Business; Service (business); Guideline; Risk analysis (engineering); Perspective (graphical); Environmental planning; Environmental health; Lead exposure; Water infrastructure; Environmental resource management; Water supply; Engineering; Medicine; Marketing; Political science; Computer science; Environmental science; Economics; Environmental engineering; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001207274,0.0001084704,0.00012998,0.00005163126,0.0001008008,0.00006979113,0.00007571174,0.00004634617,0.0004806653],"category_scores_gemma":[0.00001811347,0.00007711197,0.00004216304,0.0002387539,0.00003515516,0.0002765903,0.00004352756,0.0001184123,0.001453397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002780135,"about_ca_system_score_gemma":0.000007173133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4097579,"about_ca_topic_score_gemma":0.2159983,"domain_scores_codex":[0.9989501,0.00006634714,0.0001222397,0.0002596217,0.0001729934,0.0004286807],"domain_scores_gemma":[0.9997476,0.0000116678,0.0000424866,0.00006641213,0.000008669193,0.0001231189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001103848,0.00002459643,0.9769688,4.215607e-7,0.00001613633,0.000009616683,0.01507765,0.0009547035,0.003115399,0.000007331224,0.0004780063,0.00333628],"study_design_scores_gemma":[0.001549039,0.0003905091,0.9320577,0.00002685114,0.00007156296,0.000002382667,0.007896324,0.003078672,0.0428494,0.002005595,0.009202187,0.0008698066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777776,0.000003606465,0.00006486965,0.01184273,0.00005693258,0.0001356428,0.000001079296,0.00004646547,0.01007105],"genre_scores_gemma":[0.9984721,0.000006230255,0.00007765926,0.001044036,0.00006171736,0.00001518488,0.00003321123,0.00001220912,0.0002776453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1937596,"threshold_uncertainty_score":0.9993241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005556581838303292,"score_gpt":0.1973049314442547,"score_spread":0.1917483496059514,"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."}}