{"id":"W4214745870","doi":"10.1080/01924788.2022.2044975","title":"Social Media Usage among Older Adults: Insights from Nigeria","year":2022,"lang":"en","type":"article","venue":"Activities Adaptation & Aging","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Social media; Social connectedness; Thematic analysis; Nonprobability sampling; Snowball sampling; Psychology; Context (archaeology); Qualitative research; Functional illiteracy; Social exclusion; Gerontology; Sociology; Social psychology; Medicine; Political science; Population; Social science; Geography; 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":[0.001270054,0.0003191257,0.0003800309,0.001217108,0.003510806,0.001996174,0.0002872331,0.0006555117,0.001314643],"category_scores_gemma":[0.001487756,0.0002667285,0.0001680165,0.001042135,0.001198512,0.002031883,0.001889611,0.0009356888,0.0001549001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222554,"about_ca_system_score_gemma":0.001971974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01124528,"about_ca_topic_score_gemma":0.04121517,"domain_scores_codex":[0.99951,0.0002448488,0.00004618345,0.00003316573,0.00005530498,0.0001103686],"domain_scores_gemma":[0.999171,0.0004829905,0.000121665,0.00001155949,0.00008674822,0.0001261727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00003072772,0.00007781164,0.03130417,0.0004559694,0.000003834994,0.002275283,0.9487599,0.00000976046,0.0007694938,0.0007287075,0.0006143989,0.01497009],"study_design_scores_gemma":[0.000001951369,0.00004391028,0.01683882,0.0005567032,0.00000682946,0.0005748133,0.9750864,0.00001679252,0.00009506071,0.0001319599,0.006641209,0.00000564035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901906,0.003366113,0.0001189856,0.001595075,0.00003851974,0.00003360918,0.00005249121,0.000001581654,0.004602945],"genre_scores_gemma":[0.9882834,0.008809043,0.0002514519,0.0008878582,0.00002690071,0.00005050594,0.00003624194,0.000004146104,0.001650432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01124528,"threshold_uncertainty_score":0.02235967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739669246781493,"score_gpt":0.2536649696425301,"score_spread":0.2362682771747152,"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."}}