{"id":"W2882981772","doi":"10.1016/j.envpol.2018.07.022","title":"Corrigendum to “Environmental noise pollution and risk of preeclampsia” [Environ. Pollut. 239 (2018) 599–606]","year":2018,"lang":"en","type":"erratum","venue":"Environmental Pollution","topic":"Noise Effects and Management","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de Santé Publique du Québec; McGill University; Université de Montréal","funders":"","keywords":"Environmental science; Pollution; Environmental pollution; Preeclampsia; Noise pollution; Noise (video); Environmental health; Environmental protection; Biology; Pregnancy; Medicine; Computer science; Ecology; Noise reduction; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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","sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001069459,0.001090555,0.001146045,0.0005644023,0.0014362,0.00002763093,0.000544948,0.001416881,0.00338074],"category_scores_gemma":[0.00008246994,0.001069465,0.0003415915,0.0002053246,0.0008190813,0.0003256053,0.001420426,0.001851009,0.002912369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002189257,"about_ca_system_score_gemma":0.0001271166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009927164,"about_ca_topic_score_gemma":0.0002452529,"domain_scores_codex":[0.9933106,0.001098699,0.001429184,0.001541395,0.001189516,0.001430599],"domain_scores_gemma":[0.9963363,0.00006082663,0.001508444,0.001413794,0.000007672889,0.0006729488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003910131,0.0005242701,0.009900976,0.0004110282,0.0004187754,0.00001241925,0.001620662,0.00002681356,0.009873256,0.0001045047,0.9686432,0.008073095],"study_design_scores_gemma":[0.001492043,0.0009112597,0.3951656,0.0004672395,0.0006504236,0.000004529714,0.001354247,0.0001542282,0.0002202799,0.0001612899,0.5985219,0.0008969571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7253877,0.01179489,0.003781776,0.003160849,0.1500679,0.02369684,0.0270216,0.0007109788,0.05437751],"genre_scores_gemma":[0.6327938,0.008943824,0.0007392578,0.00150558,0.004317792,0.0004598828,0.002044734,0.000321066,0.348874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3852646,"threshold_uncertainty_score":0.9998795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696619355812493,"score_gpt":0.2802044263844962,"score_spread":0.2632382328263713,"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."}}