{"id":"W4387521706","doi":"10.1021/acsestwater.3c00273","title":"Evaluating Sentinel Pipe Racks for Monitoring Lead Release and Optimizing Corrosion Control","year":2023,"lang":"en","type":"article","venue":"ACS ES&T Water","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Lead (geology); Water pipe; Environmental science; Corrosion; Contamination; Engineering; Materials science; Composite material; Geology; Mechanical engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.000881751,0.0001198036,0.0001275174,0.00003082412,0.0002853589,0.00007162947,0.0000933718,0.00005639808,0.0001030974],"category_scores_gemma":[0.0000358912,0.00008933168,0.00004123086,0.00006885029,0.00005757368,0.0002096473,0.0001510379,0.00008554171,0.0004215362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005737026,"about_ca_system_score_gemma":0.000003620056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005985639,"about_ca_topic_score_gemma":0.000002171127,"domain_scores_codex":[0.9988168,0.0000901205,0.0002135876,0.0002768788,0.0002383454,0.0003642805],"domain_scores_gemma":[0.9996285,0.00008139228,0.00004700318,0.0001547927,0.0000103249,0.00007800323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007150588,0.00002772843,0.02236103,0.00003271133,0.000008285952,0.00000493528,0.001799342,0.008608738,0.9603816,0.00001526353,0.0008672914,0.005821608],"study_design_scores_gemma":[0.004152988,0.0001869553,0.03204568,0.0001009586,0.00009510976,0.000009802156,0.0005683564,0.1025876,0.8509435,0.0008665735,0.007855315,0.0005872032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945407,0.00001020438,0.003197272,0.001450047,0.0002678326,0.000296702,0.000008003341,0.00009135486,0.0001378963],"genre_scores_gemma":[0.99528,0.00001322537,0.002103769,0.0002586282,0.0001142924,0.00006404395,0.00002074435,0.00001663425,0.002128706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1094381,"threshold_uncertainty_score":0.5418136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06797376328139629,"score_gpt":0.3455582497669948,"score_spread":0.2775844864855985,"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."}}