{"id":"W3162177730","doi":"10.1145/3411764.3445702","title":"Technology Adoption and Learning Preferences for Older Adults:","year":2021,"lang":"en","type":"article","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University","funders":"","keywords":"Computer science; Human–computer interaction; Knowledge management","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":[0.002631132,0.0001955406,0.0002341526,0.000757921,0.0007274204,0.001523199,0.0001951256,0.0006533886,0.002075643],"category_scores_gemma":[0.008345827,0.0001239633,0.0003273558,0.0005043028,0.0004889342,0.001873674,0.001181306,0.0006409046,0.0002090295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004044073,"about_ca_system_score_gemma":0.0005561904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004856069,"about_ca_topic_score_gemma":0.0102853,"domain_scores_codex":[0.9991872,0.0003063498,0.0001222699,0.00008315369,0.0001877801,0.0001132735],"domain_scores_gemma":[0.9961804,0.001591853,0.0009304324,0.0001123045,0.0006133242,0.0005716598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001291827,0.0003136368,0.7580354,0.0002955747,0.00004390336,0.0004423329,0.1913217,0.00008033631,0.001140674,0.0003461257,0.0007261828,0.04712501],"study_design_scores_gemma":[0.00001810694,0.0007892025,0.6904985,0.000279744,0.00005711068,0.001000684,0.300194,0.0004865057,0.0004832205,0.0004471315,0.005691875,0.00005393349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985286,0.0001798162,0.0001298159,0.0001891646,0.000003324726,0.00001189958,0.0000393379,0.000002062222,0.000915933],"genre_scores_gemma":[0.9991022,0.0002231888,0.0002207207,0.0001109158,0.000003697109,0.0000146257,0.00003694856,0.000001185629,0.0002865407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004856069,"threshold_uncertainty_score":0.01391488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413479451635284,"score_gpt":0.2778018050929457,"score_spread":0.2636670105765929,"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."}}