{"id":"W6989634297","doi":"","title":"Building Capacity and Community to Improve the Quality of Life of Seniors: In Defiance of Aging","year":2020,"lang":"en","type":"article","venue":"Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population ageing; Aging in the American workforce; Quality of life (healthcare); Workforce; Population; Inclusion (mineral); Quality (philosophy); Social issues","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004671002,0.0006949903,0.0004966607,0.002053477,0.006204155,0.0111326,0.001845274,0.00356092,0.007243115],"category_scores_gemma":[0.004122081,0.0002015006,0.0003852715,0.001627771,0.02358029,0.01034502,0.01242738,0.004824687,0.00124386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008661509,"about_ca_system_score_gemma":0.01502599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01629249,"about_ca_topic_score_gemma":0.02170969,"domain_scores_codex":[0.9969771,0.001623192,0.00008339369,0.0004671195,0.0003703113,0.0004787922],"domain_scores_gemma":[0.9972241,0.0007283031,0.0003038933,0.0001778536,0.000620374,0.0009454478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000282188,0.00008530226,0.003285241,0.0008286783,0.0000279142,0.0002322864,0.05311579,0.0003792801,0.0001968826,0.8292702,0.03868185,0.07386827],"study_design_scores_gemma":[0.0000165369,0.0001195504,0.006607797,0.003958955,0.00004274824,0.0003275195,0.06858841,0.000664127,0.0002548549,0.3900098,0.5293535,0.00005623717],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05480616,0.07649009,0.01757449,0.5249022,0.004143045,0.0002425964,0.0004139244,0.0001739772,0.3212536],"genre_scores_gemma":[0.9022888,0.03744628,0.007019442,0.03517262,0.001478472,0.0002713662,0.0001638751,0.00006267089,0.01609643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01629249,"threshold_uncertainty_score":0.06284392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0595982583291777,"score_gpt":0.3197481304777237,"score_spread":0.260149872148546,"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."}}