{"id":"W2008430099","doi":"10.1109/istas.2013.6613126","title":"The inevitability of the transition from a surveillance-society to a veillance-society: Moral and economic grounding for sousveillance","year":2013,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Action (physics); Perspective (graphical); Wearable computer; Transition (genetics); Internet privacy; Computer security; Political science; Sociology; Criminology; Computer science; Artificial intelligence","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":[0.00112259,0.0001077746,0.000182492,0.000006977684,0.001015074,0.000171261,0.0004052491,0.00009516055,0.0000385287],"category_scores_gemma":[0.0002612731,0.00006920323,0.0001844043,0.0001291537,0.0003384101,0.0002858316,0.0001255735,0.00009481434,0.000005914182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000160333,"about_ca_system_score_gemma":0.00009014655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02273738,"about_ca_topic_score_gemma":0.01754791,"domain_scores_codex":[0.9988689,0.0001475956,0.0002431618,0.0002848224,0.0001649922,0.0002905462],"domain_scores_gemma":[0.9988839,0.0004799124,0.0001068371,0.0003659236,0.00008711947,0.00007629747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005082594,0.0003463008,0.3710234,0.0004228055,0.0006543241,1.454358e-7,0.272985,0.0002161394,0.0130407,0.05852634,0.1693175,0.112959],"study_design_scores_gemma":[0.002423363,0.0002623474,0.59681,0.00006620394,0.00004021744,0.000001308984,0.05930343,0.01511703,0.001128017,0.2263959,0.09755978,0.000892408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747195,0.0002143276,0.004151465,0.01818141,0.0004767151,0.00151716,0.0001520104,0.0000571968,0.0005302245],"genre_scores_gemma":[0.9973038,0.0003037211,0.001378405,0.000436443,0.0003415025,0.0001692051,0.00000794785,0.000008151386,0.00005078753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2257866,"threshold_uncertainty_score":0.9837703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125744264926985,"score_gpt":0.268080368559256,"score_spread":0.2468229259099861,"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."}}