{"id":"W2028926124","doi":"10.1145/1296843.1296871","title":"Using participatory activities with seniors to critique, build, and evaluate mobile phones","year":2007,"lang":"en","type":"article","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mobile phone; Participatory design; Citizen journalism; Software deployment; Phone; Computer science; Mobile device; Participatory sensing; Multimedia; Mobile computing; Internet privacy; Variety (cybernetics); Mobile technology; Human–computer interaction; World Wide Web; Engineering; Telecommunications; Data science; Software engineering","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":[0.05075061,0.001875979,0.001049123,0.00282231,0.006340273,0.004584162,0.00195085,0.002111191,0.003154568],"category_scores_gemma":[0.07805533,0.0007981426,0.0007317383,0.0009674582,0.004360759,0.003664558,0.008058267,0.001660293,0.0008792212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367852,"about_ca_system_score_gemma":0.002497974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001270746,"about_ca_topic_score_gemma":0.003220244,"domain_scores_codex":[0.9536032,0.0382524,0.001571848,0.002048807,0.002760959,0.001762894],"domain_scores_gemma":[0.9350944,0.04109558,0.004618376,0.006605527,0.007684009,0.004902224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003807663,0.00160621,0.03194959,0.0006830202,0.00009691733,0.001811042,0.7801867,0.001038031,0.01533294,0.002303494,0.003623963,0.1609874],"study_design_scores_gemma":[0.0006370437,0.00792376,0.02706089,0.001178214,0.0002249408,0.00303006,0.7806758,0.00737941,0.01622845,0.02038533,0.1347447,0.0005314526],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9200862,0.0003239259,0.06202503,0.001649729,0.0001036915,0.002896602,0.0000790541,0.0004179008,0.01241793],"genre_scores_gemma":[0.922586,0.0002966878,0.07127272,0.0004376594,0.00006114679,0.001806669,0.00006700437,0.00005732772,0.003414771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05075061,"threshold_uncertainty_score":0.2683981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398064936871354,"score_gpt":0.3882367579756736,"score_spread":0.3442561086069601,"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."}}