{"id":"W4389613829","doi":"10.3389/fpubh.2023.1302493","title":"Health care in future community: innovatively discover and respond to the needs of today’s seniors","year":2023,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"People's Government of Jilin Province","keywords":"Health care; Gerontology; Medicine; Data science; Nursing; Computer science; Political science","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":[0.003902726,0.0002717178,0.0002658224,0.000960287,0.003324666,0.003369558,0.001061301,0.002073699,0.004551572],"category_scores_gemma":[0.004657731,0.0001550286,0.0003905339,0.0005768176,0.002489626,0.002882573,0.004802644,0.001410729,0.0005997885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307028,"about_ca_system_score_gemma":0.01286154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003872055,"about_ca_topic_score_gemma":0.01114935,"domain_scores_codex":[0.9982499,0.0008395054,0.00005470896,0.0001432808,0.0002793225,0.0004331748],"domain_scores_gemma":[0.9965261,0.0004567347,0.0003193539,0.0001210503,0.0004461164,0.002130777],"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":[0.0001014887,0.00148335,0.178418,0.002561373,0.0001281216,0.001259185,0.17245,0.0002792695,0.006407613,0.02283889,0.1027144,0.5113584],"study_design_scores_gemma":[0.00008654047,0.001011314,0.1158101,0.003087855,0.0001741518,0.001365388,0.3837287,0.001786474,0.00152798,0.03033074,0.4609809,0.0001099048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6684871,0.0131566,0.01312306,0.2181593,0.002197298,0.0009378248,0.0002672659,0.0003641207,0.08330744],"genre_scores_gemma":[0.9493579,0.005562142,0.01272769,0.02466267,0.0005692177,0.000275227,0.0001349203,0.00002508753,0.00668506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004551572,"threshold_uncertainty_score":0.0206399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02731303555482205,"score_gpt":0.3282343049441842,"score_spread":0.3009212693893621,"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."}}