{"id":"W4297183283","doi":"10.1038/s41598-022-19907-w","title":"Implications of the COVID-19 pandemic on self-reported health status and noise annoyance in rural and non-rural Canada","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Noise Effects and Management","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Health Canada","funders":"Health Canada","keywords":"Annoyance; Pandemic; Mental health; Environmental health; Anxiety; Odds; Medicine; Depression (economics); Occupational safety and health; Public health; Logistic regression; Demography; Gerontology; Coronavirus disease 2019 (COVID-19); Disease; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002626908,0.0001042362,0.0002071666,0.0001145187,0.001761193,0.00001581218,0.000099676,0.00002405559,0.0000536876],"category_scores_gemma":[0.0001906853,0.00007846047,0.00002188995,0.0005491902,0.000105816,0.00004750887,0.0003356438,0.0003010984,2.805699e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008868094,"about_ca_system_score_gemma":0.003647362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4021722,"about_ca_topic_score_gemma":0.4847752,"domain_scores_codex":[0.9977641,0.0003388906,0.0006693364,0.0003821336,0.0004114057,0.0004341332],"domain_scores_gemma":[0.9981478,0.0001593079,0.0007055152,0.0006906048,0.00005421659,0.0002425876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001242844,0.00004943074,0.9337118,0.0001808821,0.00001374584,0.00002100076,0.002302989,0.0001672896,0.0005933189,0.0001676301,0.06188384,0.0008956676],"study_design_scores_gemma":[0.0004117785,0.00004440516,0.8619523,0.00005310492,0.00001348091,0.0000350365,0.002973087,0.0000685479,0.0000082423,0.001307564,0.1330234,0.0001090926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906957,0.0001693928,0.000005998294,0.003886954,0.002856072,0.001672716,0.00003388195,0.00002821129,0.0006510636],"genre_scores_gemma":[0.9960067,0.0000312708,0.00002023957,0.002249699,0.00001595589,0.0002552166,0.00003699395,0.000009141962,0.001374736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08260304,"threshold_uncertainty_score":0.9995384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03379438456546069,"score_gpt":0.3720646377046002,"score_spread":0.3382702531391396,"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."}}