{"id":"W4403066838","doi":"10.1016/j.jaging.2024.101274","title":"Climate change and population aging: The role of older adults in climate change mitigation","year":2024,"lang":"en","type":"review","venue":"Journal of Aging Studies","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Climate change; Population ageing; Population; Gerontology; Geography; Demography; Medicine; Sociology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001854886,0.001229004,0.002647948,0.002821354,0.0003592978,0.001484364,0.001074906,0.002264343,0.005049902],"category_scores_gemma":[0.00330856,0.000305188,0.001148545,0.004010409,0.000586639,0.001607707,0.001212565,0.002012698,0.001054139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068271,"about_ca_system_score_gemma":0.003554355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007382391,"about_ca_topic_score_gemma":0.01475045,"domain_scores_codex":[0.9995446,0.0001250135,0.00008112934,0.0000758282,0.0001354621,0.00003790313],"domain_scores_gemma":[0.9981982,0.001039995,0.0002536838,0.00002974769,0.0003694673,0.0001088477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007144387,0.00006010958,0.0006880909,0.03874947,0.0004633724,0.00007382353,0.0001146617,0.0002318887,0.0001971368,0.003163208,0.02759601,0.9285908],"study_design_scores_gemma":[0.00005809964,0.0001739158,0.008308528,0.06206763,0.001660164,0.0006298779,0.0004010129,0.0001933563,0.0001874421,0.004922137,0.9213268,0.00007114044],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003552223,0.9992191,0.00002535874,0.0003567714,0.0001770721,0.000001930769,0.00001496221,0.000001742482,0.000167582],"genre_scores_gemma":[0.000382997,0.9990952,0.0000521048,0.0001932794,0.0001826487,0.000003367472,0.00001227049,4.80799e-7,0.000077624],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007382391,"threshold_uncertainty_score":0.01689363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1339341118302251,"score_gpt":0.4010274949799061,"score_spread":0.267093383149681,"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."}}