{"id":"W3168384083","doi":"10.4018/978-1-7998-7327-3.ch008","title":"Aging Population","year":2021,"lang":"en","type":"book-chapter","venue":"Advances in human services and public health (AHSPH) book series","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yorkville University","funders":"","keywords":"Limiting; Pandemic; Phenomenon; Coronavirus disease 2019 (COVID-19); Population; Population ageing; Political science; Development economics; Sociology; Engineering; Economics; Medicine; Epistemology; Demography","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":[0.0002408759,0.0005653743,0.0003199748,0.0006591596,0.0009914809,0.001890171,0.0003970036,0.0008735649,0.05545314],"category_scores_gemma":[0.0006621759,0.0001206853,0.0002196767,0.000903777,0.0004848426,0.001777454,0.001292832,0.001712577,0.02740065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000794214,"about_ca_system_score_gemma":0.001133799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003105646,"about_ca_topic_score_gemma":0.005449533,"domain_scores_codex":[0.999864,0.00002624359,0.000004964896,0.00002724024,0.00005768194,0.00001987775],"domain_scores_gemma":[0.9998555,0.00003315859,0.000009854984,0.000008895539,0.00005897099,0.00003355144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006133903,0.00002968166,0.0003766913,0.0001605946,0.000002362247,0.00007932325,0.001235274,0.00007644281,0.0001464125,0.06754801,0.7802305,0.1501086],"study_design_scores_gemma":[7.920702e-7,0.000006648641,0.000476142,0.00009174061,8.656388e-7,0.0001067452,0.0002055307,0.0000202951,0.0000204859,0.004075648,0.9949932,0.00000196581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002937602,0.08675502,0.002044688,0.02608861,0.01088627,0.0001311148,0.001023678,0.0002289888,0.8699039],"genre_scores_gemma":[0.01436102,0.06786796,0.00145282,0.01297211,0.003797794,0.0001420846,0.0009209964,0.0001056647,0.8983795],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05545314,"threshold_uncertainty_score":0.1855092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03504060126984036,"score_gpt":0.3531001550129557,"score_spread":0.3180595537431153,"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."}}