{"id":"W2139218090","doi":"10.29173/irie95","title":"Locating ‘Agency’ Within Ubiquitous Computing Systems","year":2007,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Ubiquitous computing; Computer science; Data science; Business; Computer security; Internet privacy; Sociology; Human–computer interaction; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0178368,0.00006986342,0.0001195337,0.00007554233,0.0004385991,0.00009311712,0.0008366817,0.00009676506,0.00003511915],"category_scores_gemma":[0.0125023,0.00005327372,0.00005254392,0.0002534337,0.0001500676,0.0008676968,0.0001642006,0.000456014,0.00006480642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580214,"about_ca_system_score_gemma":0.0002822968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001841005,"about_ca_topic_score_gemma":0.0001751922,"domain_scores_codex":[0.997736,0.0002029043,0.0007891699,0.00006126676,0.00107299,0.0001376394],"domain_scores_gemma":[0.9973329,0.0007082539,0.0007728732,0.0002026786,0.0009419095,0.00004137262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001782862,0.00002641984,0.0001703435,0.004019995,0.0000431984,5.962305e-7,0.0753962,0.000305055,0.00004703468,0.8590543,0.003341079,0.0575779],"study_design_scores_gemma":[0.0005796503,0.00009038128,0.002373426,0.01993986,0.00008864167,0.00004911148,0.03777311,0.01702553,0.0010139,0.0213941,0.8990451,0.0006272103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01957676,0.01917153,0.6015906,0.06605122,0.01214076,0.003014033,0.00007405387,0.0003643125,0.2780167],"genre_scores_gemma":[0.9843629,0.008817158,0.001156786,0.005066918,0.0004711703,0.00000718479,0.00005821236,0.000004513905,0.00005514239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9647862,"threshold_uncertainty_score":0.9958158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06332811705908638,"score_gpt":0.3878597335588677,"score_spread":0.3245316164997813,"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."}}