{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000782484,0.00009088915,0.0001197255,0.0001051118,0.0003157774,0.00003931532,0.00007355712,0.00008968014,0.00003627194],"category_scores_gemma":[0.00008200896,0.0000768849,0.000009913015,0.000201544,0.0005180771,0.0002153687,0.00005433058,0.00008097471,0.000003041755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004429743,"about_ca_system_score_gemma":0.0000553125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002793582,"about_ca_topic_score_gemma":0.0159276,"domain_scores_codex":[0.9990548,0.00006391123,0.0001002762,0.0002174391,0.0002041501,0.0003593564],"domain_scores_gemma":[0.9995311,0.0001383675,0.00002587096,0.0001106117,0.00005001199,0.0001440262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003409275,0.0003050412,0.4579801,0.0001039434,0.000172721,0.0001495844,0.3208698,0.000136045,0.05989774,0.02971166,0.001851368,0.1284811],"study_design_scores_gemma":[0.002236112,0.001033998,0.09909008,0.0003014882,0.0002323324,0.00008102158,0.6201439,0.0006000613,0.2220673,0.00592584,0.04637366,0.001914193],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950677,0.000105116,0.001284789,0.0009304356,0.00005467887,0.0002983571,0.000001114795,0.0002286881,0.002029079],"genre_scores_gemma":[0.9924577,0.00002177209,0.006699559,0.0004349223,0.00003892087,0.00002147362,8.583629e-8,0.00001044325,0.0003151003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.35889,"threshold_uncertainty_score":0.8887973,"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."}}