{"id":"W4386446996","doi":"10.5751/es-14374-280313","title":"Recognizing the importance of near-home contact with nature for mental well-being based on the COVID-19 lockdown experience","year":2023,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Scale (ratio); Geography; Citizen science; Pandemic; Psychology; Medicine; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004346332,0.0005602495,0.0009847662,0.00403374,0.0009641057,0.004774708,0.0007282415,0.00156298,0.005153759],"category_scores_gemma":[0.02215081,0.0002715305,0.001652922,0.003332158,0.001770229,0.006249018,0.002935961,0.002014671,0.0007363654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0019328,"about_ca_system_score_gemma":0.003185034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005329179,"about_ca_topic_score_gemma":0.02052232,"domain_scores_codex":[0.9954903,0.002201963,0.0007046306,0.0003392417,0.0009511565,0.0003127167],"domain_scores_gemma":[0.9821821,0.01293694,0.001949923,0.0002297951,0.002118221,0.0005831004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000247973,0.00007607709,0.01858759,0.2462182,0.001744111,0.002044658,0.04511146,0.0001524091,0.001463032,0.006781205,0.1204748,0.5570986],"study_design_scores_gemma":[0.000056366,0.0002665523,0.04343371,0.2242145,0.002049533,0.005185016,0.08098403,0.00007868742,0.0005989136,0.004199607,0.6387361,0.0001969431],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01712194,0.9474688,0.0007071118,0.0208535,0.0022505,0.0001046782,0.0009666751,0.00002409653,0.01050276],"genre_scores_gemma":[0.1183797,0.8581436,0.001543249,0.01753994,0.001432136,0.0002359047,0.0007420846,0.0000473793,0.001936012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005329179,"threshold_uncertainty_score":0.02298582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01524365071501836,"score_gpt":0.2718144927760029,"score_spread":0.2565708420609845,"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."}}