{"id":"W3081394388","doi":"10.1002/aws2.1182","title":"Potential regulatory implications of Health Canada's new lead guideline","year":2020,"lang":"en","type":"article","venue":"AWWA Water Science","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Guideline; Daytime; Sampling (signal processing); Lead (geology); Environmental science; Environmental health; Lead exposure; Medicine; Engineering; Telecommunications; Atmospheric sciences","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":[0.000559055,0.00007938072,0.0001398459,0.00001563542,0.000197727,0.0000158259,0.0005383769,0.00001764315,0.0004016928],"category_scores_gemma":[0.00003413683,0.00005782936,0.00002815933,0.0003658763,0.0003263841,0.0002214162,0.000257877,0.00006191264,0.0000899319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001183065,"about_ca_system_score_gemma":0.0005918078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3456771,"about_ca_topic_score_gemma":0.06520767,"domain_scores_codex":[0.9984215,0.00003059089,0.0003702316,0.0003306782,0.0004961236,0.0003508993],"domain_scores_gemma":[0.9992784,0.000005021267,0.00007236318,0.0002891875,0.00001750984,0.0003375074],"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":[0.000006122851,0.00003522918,0.01187989,0.000009262834,0.000004619313,0.000002993725,0.001231384,0.002253245,0.8682445,0.0001868018,0.07294811,0.04319783],"study_design_scores_gemma":[0.0003278835,0.0002079101,0.3385893,0.00000701497,0.00001049585,0.00001370044,0.0001144505,0.002076767,0.5403733,0.0009260587,0.1170158,0.000337393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9019383,0.00004737478,0.01091818,0.08448327,0.0001826343,0.000191029,0.0000106812,0.00003253714,0.002196005],"genre_scores_gemma":[0.9909906,0.000002300662,0.002772663,0.005956514,0.00004217873,0.000001269525,0.000003202499,0.000004383165,0.0002269091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3278712,"threshold_uncertainty_score":0.9518499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934166695180433,"score_gpt":0.2471904726870453,"score_spread":0.2278488057352409,"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."}}