{"id":"W4413026313","doi":"10.12927/hcq.2025.27636","title":"Our Aging Disconnect: Billions for Longevity, Pennies for Dignity","year":2025,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Longevity; Dignity; Psychology; Successful aging; Gerontology; Medicine; Business; Nursing; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.006859021,0.0003752677,0.0004875301,0.00115556,0.02084969,0.01373978,0.001166369,0.008069992,0.01130691],"category_scores_gemma":[0.01561474,0.0002702263,0.0004274417,0.001511832,0.02727279,0.008908562,0.00621261,0.01123348,0.001279486],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05218975,"about_ca_system_score_gemma":0.1524401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8254952,"about_ca_topic_score_gemma":0.8902755,"domain_scores_codex":[0.9944025,0.001142218,0.0001422575,0.0003901914,0.00218855,0.001734414],"domain_scores_gemma":[0.9890232,0.001727273,0.0003803778,0.0004735021,0.003086519,0.005309128],"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":[0.00002457236,0.0000284757,0.001207652,0.00007884618,0.00001134915,0.0001802492,0.007644964,0.00009301698,0.0001976722,0.4306888,0.5220797,0.03776466],"study_design_scores_gemma":[0.00001356412,0.00001739222,0.002469639,0.000404696,0.00001280903,0.0001013501,0.01033213,0.00009889177,0.00008754885,0.07618089,0.910241,0.00004006911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002986662,0.008449206,0.0004395811,0.9442795,0.001918092,0.00001156797,0.00008278454,0.00002901015,0.04180354],"genre_scores_gemma":[0.3389478,0.02995385,0.004392327,0.5396658,0.002979638,0.00008216702,0.0003227155,0.0001638432,0.08349182],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9478102,"threshold_uncertainty_score":0.3786649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05839444182676214,"score_gpt":0.4041606837791424,"score_spread":0.3457662419523803,"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."}}