{"id":"W2509410361","doi":"10.1145/2935334.2935363","title":"Smartphones, apps and older people's interests","year":2016,"lang":"en","type":"article","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Internet privacy; Computer science; Computer security; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001467766,0.0001608661,0.0001684112,0.001463678,0.0009015941,0.001889037,0.0001675255,0.0005798222,0.003092998],"category_scores_gemma":[0.005037705,0.00009315641,0.0002610673,0.0009001594,0.0005893158,0.001804648,0.001346274,0.0004067089,0.0002683836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004659492,"about_ca_system_score_gemma":0.0002902538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004181162,"about_ca_topic_score_gemma":0.008287368,"domain_scores_codex":[0.9993955,0.0002653383,0.00006302205,0.0000491003,0.0001238284,0.0001032107],"domain_scores_gemma":[0.9962508,0.001482868,0.001105324,0.00009955013,0.0005086566,0.0005528529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001457917,0.0002135447,0.8935924,0.0001956811,0.00007562008,0.0004667101,0.0407944,0.00007445871,0.0004591929,0.002360055,0.001065441,0.06055665],"study_design_scores_gemma":[0.000008607185,0.0002301589,0.940819,0.0002208127,0.00006508129,0.0006112006,0.04689244,0.0001757748,0.0002039673,0.001325065,0.009427143,0.00002063479],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855732,0.002766797,0.000152355,0.0007826636,0.00001517685,0.00001221902,0.0001182468,0.000002473955,0.01057693],"genre_scores_gemma":[0.9978724,0.0009128512,0.00009505249,0.0001167216,0.00001462672,0.000007281588,0.00003638885,9.566224e-7,0.0009438267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004181162,"threshold_uncertainty_score":0.01034713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009736210869489927,"score_gpt":0.2679361925455465,"score_spread":0.2581999816760565,"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."}}