{"id":"W2104246751","doi":"10.1109/scc.2005.44","title":"Designing privacy policies for adopting RFID in the retail industry","year":2005,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Radio-frequency identification; Authorization; Identification (biology); Productivity; Retail industry; Information privacy; Business; Computer security; Consumer privacy; Computer science; Privacy protection; Marketing","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":[0.001853157,0.00006626436,0.00007510867,0.0000590604,0.0005997763,0.0001514166,0.0005452387,0.0001691149,0.0000772018],"category_scores_gemma":[0.001708771,0.00004997438,0.00003297133,0.0002869527,0.00008668528,0.0004857475,0.00009327751,0.0002790249,0.0000126224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007908518,"about_ca_system_score_gemma":0.00009528851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003759497,"about_ca_topic_score_gemma":0.003813688,"domain_scores_codex":[0.9990324,0.0001648379,0.0001559928,0.0001387377,0.0002022051,0.0003057928],"domain_scores_gemma":[0.9994379,0.0002338019,0.00005525317,0.000197183,0.00003718197,0.00003874109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000900896,0.0003812958,0.08143202,0.00007018329,0.00003289112,0.000003557241,0.4161152,0.0001198942,0.001999644,0.2312796,0.04492002,0.2235556],"study_design_scores_gemma":[0.0005359214,0.0000609235,0.008721384,0.00003778165,0.00001257205,0.000001563002,0.07328964,0.0002872496,0.00202677,0.01119248,0.903562,0.0002717051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8094741,0.0003329048,0.02221402,0.07112087,0.0002321107,0.001908976,0.00001151224,0.0003067826,0.09439879],"genre_scores_gemma":[0.9858101,0.00003080029,0.01151188,0.001159045,0.000798208,0.00005793413,0.000003157906,0.000005740938,0.0006231213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.858642,"threshold_uncertainty_score":0.568326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09242322205248116,"score_gpt":0.3486045041617223,"score_spread":0.2561812821092412,"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."}}