{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002371135,0.0001597687,0.0002057223,0.0002123532,0.002368851,0.0001000435,0.0003881337,0.0001088681,0.0006381111],"category_scores_gemma":[0.0001825123,0.0001952468,0.00007912145,0.0004605821,0.0003785318,0.0006507644,0.0001737514,0.0004106108,0.00001279436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003327927,"about_ca_system_score_gemma":0.000169216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006673806,"about_ca_topic_score_gemma":0.02986279,"domain_scores_codex":[0.9978626,0.0004349587,0.0002358236,0.0003874572,0.0007039024,0.000375263],"domain_scores_gemma":[0.9988764,0.0006111138,0.0002217501,0.0001723627,0.00004957224,0.00006880968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002707657,0.00007679206,0.005516556,0.000005527681,0.00004781467,0.0000238789,0.9589391,0.00006699197,0.0002759244,0.005127883,0.001222644,0.02866978],"study_design_scores_gemma":[0.000984882,0.0000189063,0.0999572,0.00004153749,0.00002687062,7.606019e-7,0.8739473,0.0005026074,0.0004242419,0.006727539,0.01691973,0.0004484313],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938307,0.0001657057,0.0004468799,0.001394628,0.0008149325,0.0002603684,0.00003570436,0.0004574255,0.002593615],"genre_scores_gemma":[0.9985024,0.00001982745,0.0002810477,0.0002206976,0.0004246937,0.0001664874,0.0000547133,0.000029397,0.0003006759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09444065,"threshold_uncertainty_score":0.9999408,"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."}}