{"id":"W3037263482","doi":"10.1177/1354856520930905","title":"Ageism in the era of digital platforms","year":2020,"lang":"en","type":"article","venue":"Convergence The International Journal of Research into New Media Technologies","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Perspective (graphical); Usability; Affect (linguistics); Socioeconomic status; Order (exchange); Power (physics); Psychology; Sociology; Internet privacy; Computer science; Business; Human–computer interaction; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.00259381,0.00009441004,0.0001845781,0.0003466058,0.0001408794,0.0001099554,0.006448969,0.0001715787,0.00006650919],"category_scores_gemma":[0.02313377,0.00005258784,0.0000983346,0.001104864,0.002403091,0.0005800577,0.0005193799,0.001680229,0.00003075505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001371666,"about_ca_system_score_gemma":0.0007963126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004278016,"about_ca_topic_score_gemma":0.0005652864,"domain_scores_codex":[0.9966789,0.0000711523,0.0004910236,0.0001443879,0.00229018,0.0003243027],"domain_scores_gemma":[0.9969586,0.001657411,0.0002808408,0.0002393214,0.0007950926,0.00006872255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004332787,0.0001789839,0.04043195,0.00002509684,0.0002439525,0.0006507073,0.2015482,0.00003532186,0.002907018,0.2184353,0.06046036,0.4746498],"study_design_scores_gemma":[0.0008570996,0.00034488,0.002549451,0.0002372983,0.000009077007,0.00004850321,0.300243,0.0001047376,0.01699676,0.6336071,0.04484506,0.0001570953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6492772,0.0008973183,0.0003336016,0.348224,0.0005417041,0.0002004664,0.000004240317,0.00008527954,0.0004362173],"genre_scores_gemma":[0.9966872,0.002403843,0.0004421725,0.000179755,0.0002431756,0.00000653763,6.867397e-7,0.0000060666,0.00003059324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4744928,"threshold_uncertainty_score":0.9989266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051933258673502,"score_gpt":0.3927947056610448,"score_spread":0.2876013797936946,"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."}}