{"id":"W4413356179","doi":"10.1371/journal.pone.0329141","title":"Residential greenness and reduced depression during COVID-19: Longitudinal evidence from the Canadian Longitudinal Study on Aging","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Toronto; Carleton University; Queen's University","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Depression (economics); Pandemic; Interquartile range; Medicine; Odds; Loneliness; Demography; Odds ratio; Population; Cohort study; Mental health; Epidemiology; Gerontology; Logistic regression; Coronavirus disease 2019 (COVID-19); Environmental health; Psychiatry; Internal medicine; Disease","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":[0.002484603,0.0004763281,0.0004964302,0.00130875,0.002322597,0.001220167,0.001438063,0.000785511,0.002599509],"category_scores_gemma":[0.006018114,0.0004676901,0.001110247,0.003018827,0.0006733352,0.0005165115,0.001134362,0.001416741,0.0002171507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005551881,"about_ca_system_score_gemma":0.009455644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9393091,"about_ca_topic_score_gemma":0.9522018,"domain_scores_codex":[0.9990348,0.0001317989,0.00006489704,0.0002057273,0.0002505162,0.0003122604],"domain_scores_gemma":[0.9951951,0.0003772477,0.001041522,0.0004167075,0.002147622,0.0008217589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001749101,0.000047958,0.99282,0.00006783957,0.0003065476,0.00004515036,0.0005089201,0.00005075539,0.00004497249,0.0001113535,0.001305587,0.004516095],"study_design_scores_gemma":[0.000007627395,0.00001385762,0.9990712,0.00004882791,0.00008148202,0.00001661555,0.0002254796,0.00006343715,0.000008507845,0.00002844882,0.00042868,0.000005828088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740408,0.01110609,0.0002788386,0.002151816,0.0001055933,0.00008031671,0.008427983,0.00001587524,0.003792692],"genre_scores_gemma":[0.992503,0.003304453,0.000278974,0.0003022046,0.00003582301,0.00003271264,0.00295446,0.000006717746,0.0005815294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06069088,"threshold_uncertainty_score":0.1220965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1130622255220951,"score_gpt":0.3195898103102683,"score_spread":0.2065275847881732,"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."}}