{"id":"W4384948723","doi":"10.1109/sp46215.2023.10179413","title":"No Privacy in the Electronics Repair Industry","year":2023,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Service provider; Internet privacy; Copying; Data breach; Business; Privacy policy; Computer security; Information privacy; Service (business); Safeguard; Personally identifiable information; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0176729,0.000151557,0.0003274597,0.0008258413,0.008230429,0.009335635,0.001037506,0.002814779,0.008412989],"category_scores_gemma":[0.03222377,0.0003679219,0.0003839213,0.001567355,0.01406096,0.01078148,0.006457803,0.00439168,0.0008564477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004123257,"about_ca_system_score_gemma":0.007303749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008151806,"about_ca_topic_score_gemma":0.007928128,"domain_scores_codex":[0.9744022,0.01478333,0.001030339,0.001989748,0.005314841,0.002479554],"domain_scores_gemma":[0.9530577,0.02574323,0.008237433,0.005348591,0.004527759,0.003085326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002353804,0.0003542527,0.148415,0.0007623389,0.00009222282,0.00202336,0.2510287,0.001212307,0.003851991,0.3878018,0.03072579,0.1734968],"study_design_scores_gemma":[0.00002943989,0.0004707217,0.1074757,0.002118459,0.00006577161,0.002216595,0.3550109,0.002160906,0.003698481,0.09921857,0.4273711,0.0001633031],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7315931,0.004264378,0.01140078,0.1225252,0.000261596,0.00006105428,0.0002124421,0.00007678846,0.1296047],"genre_scores_gemma":[0.9898892,0.0007527386,0.0005389103,0.005013369,0.00004197434,0.00001232014,0.00002885349,0.00001153236,0.00371113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0176729,"threshold_uncertainty_score":0.09346431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04081113853525666,"score_gpt":0.3289906487169209,"score_spread":0.2881795101816642,"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."}}