{"id":"W4386069001","doi":"10.26434/chemrxiv-2023-h1459-v3","title":"Evaluating sentinel pipe racks for monitoring lead releaseand optimizing corrosion control","year":2023,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Halifax Regional Water Commission; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Lead (geology); Water pipe; Corrosion; Environmental science; Climbing; Contamination; Engineering; Materials science; Structural engineering; Geology; Composite material; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001605043,0.0003169738,0.0003753037,0.00004752442,0.0003074685,0.0001442267,0.0003734294,0.0002719032,0.0001987298],"category_scores_gemma":[0.0002275047,0.000319409,0.0002397066,0.0001090219,0.00009867327,0.0001112189,0.0006856426,0.0004710324,0.000385978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003640951,"about_ca_system_score_gemma":0.00003948262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001403725,"about_ca_topic_score_gemma":0.000004063438,"domain_scores_codex":[0.997611,0.0001405533,0.0005095113,0.0007475496,0.0005115318,0.000479874],"domain_scores_gemma":[0.9987173,0.0002491793,0.0003530383,0.0005106524,0.00003017433,0.0001396296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003255472,0.0003039278,0.07161709,0.001041668,0.0001238689,0.0000188242,0.00229792,0.2441885,0.657992,0.00003829421,0.01235659,0.009695702],"study_design_scores_gemma":[0.008112892,0.0002206131,0.06223229,0.002082867,0.0006929187,0.000008927697,0.0008499199,0.4962558,0.4140289,0.00558112,0.007065671,0.002868052],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9119134,0.0001190212,0.0800477,0.001967498,0.00294873,0.001632961,0.00003651971,0.0004251633,0.0009090381],"genre_scores_gemma":[0.9806774,0.00004902223,0.01358512,0.0001502615,0.0005713368,0.0003707826,0.00008451527,0.00006405963,0.004447466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2520673,"threshold_uncertainty_score":0.9999258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1430340728762702,"score_gpt":0.3819933654746795,"score_spread":0.2389592925984093,"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."}}