{"id":"W2477169400","doi":"","title":"Re-thinking human-computer interaction research and design with a growing ageing population: widening contexts of technology use, changing the subject and object of design","year":2016,"lang":"en","type":"dissertation","venue":"Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya)","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Ministerio de Ciencia e Innovación; Ministerio de Economía y Competitividad","keywords":"Persona; Humanities; Art; Cartography; Sociology; Geography","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00364741,0.0003614791,0.0006528478,0.002129685,0.001527566,0.0001620191,0.0007539182,0.000840509,0.00002316383],"category_scores_gemma":[0.0007049329,0.0003179372,0.0000882128,0.001411005,0.0007630048,0.001257731,0.0002340956,0.000846391,9.724479e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000647099,"about_ca_system_score_gemma":0.0003514132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003614,"about_ca_topic_score_gemma":0.009218337,"domain_scores_codex":[0.9962537,0.00127905,0.0004757596,0.0006598113,0.0005728145,0.0007588683],"domain_scores_gemma":[0.9952137,0.002914936,0.0006758096,0.0004654496,0.0006283667,0.0001017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002327717,0.0002706359,0.4989879,0.001574031,0.002461208,0.00078279,0.3522996,0.0005799565,0.05141787,0.04681932,0.0004809475,0.04199805],"study_design_scores_gemma":[0.00565602,0.002937995,0.2775539,0.02157431,0.001841723,0.0001842291,0.5056347,0.0009207497,0.1496119,0.03035082,0.0005566106,0.003176983],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922684,0.0006911213,0.004908606,0.0006185986,0.00009602935,0.001021949,0.00001163725,0.0002155866,0.0001680187],"genre_scores_gemma":[0.9912413,0.0002236919,0.007885682,0.00002040743,0.000069433,0.00002320559,0.00003562802,0.00005785867,0.0004428293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2214339,"threshold_uncertainty_score":0.9999273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05877705531897368,"score_gpt":0.337503682230342,"score_spread":0.2787266269113683,"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."}}