{"id":"W2805538290","doi":"10.1177/0002764218777572","title":"Dividing the Grey Divide: Deconstructing Myths About Older Adults’ Online Activities, Skills, and Attitudes","year":2018,"lang":"en","type":"article","venue":"American Behavioral Scientist","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":264,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Typology; Digital media; Digital divide; Narrative; Psychology; Social psychology; Gerontology; Sociology; Medicine; Information and Communications Technology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03324378,0.0008741698,0.0007517711,0.007329388,0.01291997,0.01242546,0.002495543,0.003276198,0.00191455],"category_scores_gemma":[0.03361811,0.0008305118,0.0006174516,0.002840204,0.05339017,0.02796371,0.0150419,0.007734312,0.0002167138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01016131,"about_ca_system_score_gemma":0.007965495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02595496,"about_ca_topic_score_gemma":0.03455496,"domain_scores_codex":[0.9911616,0.006024273,0.000462231,0.0007171539,0.0008070501,0.0008278029],"domain_scores_gemma":[0.9718966,0.02064497,0.002461729,0.001368822,0.001892025,0.001735863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001241384,0.00001289534,0.00350301,0.00005352081,0.000006267797,0.00009630063,0.9736466,0.00002267684,0.00009574569,0.01816077,0.0005043307,0.003885468],"study_design_scores_gemma":[0.000004133815,0.00001580828,0.003424572,0.0003986571,0.000007600284,0.00006544158,0.969164,0.0001372608,0.00007370197,0.0195197,0.007177591,0.00001154936],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8885958,0.006858341,0.009566628,0.06731732,0.0005451222,0.0001505777,0.0001073716,0.00003749623,0.02682144],"genre_scores_gemma":[0.9927384,0.001405022,0.001280812,0.003475231,0.0001051736,0.0001100552,0.00004332669,0.00002162127,0.0008202828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03324378,"threshold_uncertainty_score":0.1758121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500293138886326,"score_gpt":0.3353104360346981,"score_spread":0.3203075046458349,"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."}}