{"id":"W4390082398","doi":"10.1093/geroni/igad104.1036","title":"DIGITAL AGEISM AND ITS IMPLICATIONS FOR OLDER ADULT INCLUSION","year":2023,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nexus (standard); Injustice; Digital inclusion; Psychology; Digital health; Population; Sociology; Political science; Social psychology; Computer science; Health care; World Wide Web","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":[0.01105097,0.0001812034,0.0003877801,0.002981067,0.004013811,0.007905552,0.001242665,0.002012667,0.008002283],"category_scores_gemma":[0.04542403,0.0001892318,0.0004949194,0.002686015,0.01169351,0.01070545,0.01121156,0.0022961,0.0003234429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004928596,"about_ca_system_score_gemma":0.00662388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006301593,"about_ca_topic_score_gemma":0.008214591,"domain_scores_codex":[0.9928622,0.00398507,0.000611616,0.0005266102,0.001348212,0.0006664295],"domain_scores_gemma":[0.965684,0.02049861,0.006345938,0.001241974,0.004074997,0.002154563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008018151,0.0001575645,0.05089237,0.002410171,0.00006919663,0.0008845427,0.2228872,0.0002373825,0.0001155567,0.5307667,0.0140978,0.1774013],"study_design_scores_gemma":[0.00003357175,0.0001142213,0.06661018,0.01680416,0.0001335091,0.0013623,0.3175689,0.0004804255,0.00040399,0.343307,0.2531075,0.00007423949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.418635,0.0767955,0.005653062,0.2370681,0.001627882,0.0001994586,0.0004889871,0.00003544333,0.2594966],"genre_scores_gemma":[0.9795666,0.0132989,0.0007859332,0.004094004,0.0002578137,0.00006942437,0.00005774731,0.000007587777,0.001861899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01105097,"threshold_uncertainty_score":0.05844378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06584156438180362,"score_gpt":0.4206167881719025,"score_spread":0.3547752237900989,"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."}}