{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001444445,0.00006653379,0.0000873469,0.00005929845,0.0001472858,0.00002407629,0.0001746572,0.0001147613,0.0006284055],"category_scores_gemma":[0.000176711,0.00004204968,0.00001831379,0.0001306623,0.000303015,0.000162402,0.00008284982,0.00004588047,0.0002295773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002971439,"about_ca_system_score_gemma":0.00003852271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001321633,"about_ca_topic_score_gemma":0.05468367,"domain_scores_codex":[0.9993134,0.00004414955,0.00008757494,0.0001939672,0.0001198536,0.0002410502],"domain_scores_gemma":[0.9995917,0.0001159106,0.00002474,0.0001526161,0.00003326343,0.00008175299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001145901,0.0000687666,0.3860186,0.000009036042,0.00002710417,0.000009425195,0.01891312,6.357491e-9,0.003130815,0.1616915,0.04377973,0.3863405],"study_design_scores_gemma":[0.001273625,0.00005143504,0.696456,0.0001077746,0.00001319003,0.00001020011,0.00666919,0.000001692909,0.002086572,0.01427848,0.2786601,0.0003918554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415898,0.00009841706,0.001333517,0.0272294,0.000253073,0.0001678799,0.000002316797,0.0005140989,0.02881154],"genre_scores_gemma":[0.9884855,0.0001463818,0.0003354702,0.0001961378,0.00005640551,0.00000985637,2.091005e-7,0.000006500805,0.01076359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3859486,"threshold_uncertainty_score":0.9625659,"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."}}