{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002130024,0.00006598257,0.0001022548,0.00009655655,0.0004314102,0.00003540894,0.0001110192,0.0002555127,0.0001237045],"category_scores_gemma":[0.0008549158,0.00006397204,0.00002110174,0.0003230588,0.0002585671,0.0001233779,0.00005745446,0.0001738544,0.00001017816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002116487,"about_ca_system_score_gemma":0.00008516139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001361694,"about_ca_topic_score_gemma":0.002873473,"domain_scores_codex":[0.9992393,0.000057238,0.0001045978,0.0002673051,0.00009564634,0.0002358869],"domain_scores_gemma":[0.9995321,0.0001205516,0.00004092411,0.00009646863,0.000173107,0.00003686724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001738093,0.0000743694,0.07302741,0.00004748506,0.00002926542,0.000005304099,0.01168648,0.00000145388,0.0003491463,0.1595849,0.0009320098,0.7542447],"study_design_scores_gemma":[0.003494192,0.0003392421,0.06994586,0.0003982457,0.00007385561,0.00002705801,0.4695919,0.000286619,0.0124432,0.06762292,0.3749137,0.000863296],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764376,0.0007111764,0.002795724,0.008437498,0.0001253335,0.0003073681,0.000001630265,0.0007606521,0.01042306],"genre_scores_gemma":[0.9853984,0.0003170156,0.01017162,0.00008168341,0.00004067838,0.00006662056,0.000004222469,0.000006407648,0.003913392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7533815,"threshold_uncertainty_score":0.3318102,"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."}}