{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001873113,0.0004109189,0.0004667081,0.001053076,0.002455647,0.001552567,0.001277114,0.0005340134,0.00348243],"category_scores_gemma":[0.00907903,0.0002532928,0.0008472795,0.002678659,0.001177033,0.0004616336,0.001454748,0.001132655,0.0001926493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02442252,"about_ca_system_score_gemma":0.05825354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972056,"about_ca_topic_score_gemma":0.9973704,"domain_scores_codex":[0.9979566,0.0003234252,0.00009286589,0.0002125839,0.0004716155,0.000942843],"domain_scores_gemma":[0.9933336,0.00100717,0.001074131,0.0001538233,0.002249221,0.002182121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001583216,0.00005476628,0.9927,0.00003919341,0.00006098827,0.00008464832,0.001016609,0.0002095853,0.00006342425,0.0001549133,0.001327364,0.004130122],"study_design_scores_gemma":[0.000006920821,0.00002218098,0.9962882,0.00003911019,0.00002599114,0.00001605349,0.002734758,0.0002753067,0.0000248608,0.0000423731,0.0005115389,0.00001284295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857585,0.001223197,0.0001123216,0.002790394,0.00004784788,0.0000498823,0.004883191,0.00001139294,0.0051233],"genre_scores_gemma":[0.997623,0.0004085349,0.00007251676,0.0002036719,0.00001056102,0.00001294251,0.0007652473,0.000004030489,0.0008994503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02442252,"threshold_uncertainty_score":0.1771985,"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."}}