{"id":"W2972768791","doi":"10.1145/3351232","title":"Back to Real Pictures","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"AGE-WELL","keywords":"Usability; Cloud computing; Bridge (graph theory); Computer science; Perception; Digital divide; Cloud storage; Key (lock); World Wide Web; Human–computer interaction; Multimedia; Internet privacy; Data science; Psychology; The Internet; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005946063,0.0005274711,0.0002301014,0.001341011,0.002011427,0.004904577,0.0007858693,0.00178581,0.2111036],"category_scores_gemma":[0.005792698,0.0002656494,0.0004603833,0.001176281,0.002675729,0.008077216,0.003079148,0.00215826,0.07014105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001878563,"about_ca_system_score_gemma":0.0006326221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007253126,"about_ca_topic_score_gemma":0.008522746,"domain_scores_codex":[0.9993722,0.0002104129,0.00003515695,0.0001083819,0.0001970661,0.00007687366],"domain_scores_gemma":[0.9986702,0.0003729244,0.00008865903,0.000280525,0.0004152266,0.000172431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001679538,0.00006127368,0.002745989,0.0006397274,0.00002174925,0.0008950598,0.02716263,0.0001831505,0.001451181,0.2430304,0.4860378,0.2376032],"study_design_scores_gemma":[0.000003413844,0.0000115854,0.0005967814,0.0001330099,0.000002602404,0.0003041393,0.003725636,0.00003564734,0.0001464909,0.006425989,0.9886058,0.000008949293],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01790254,0.00615708,0.009852543,0.02481223,0.003772757,0.00008989573,0.002325213,0.001024625,0.934063],"genre_scores_gemma":[0.2284469,0.008954496,0.01082707,0.015169,0.001145392,0.0001135771,0.001685519,0.001094518,0.7325635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2111036,"threshold_uncertainty_score":0.7062119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113874518227265,"score_gpt":0.2824613944668439,"score_spread":0.2713226492845713,"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."}}