{"id":"W2110747181","doi":"10.24908/ss.v1i3.3343","title":"Urban Surveillance and Panopticism: will we recognize the facial recognition society?","year":2002,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Panopticon; Facial recognition system; Perception; Discipline; Gaze; Sociology; Face (sociological concept); Psychology; Internet privacy; Social psychology; Cognitive psychology; Computer science; Politics; Artificial intelligence; Political science; Law; Social science; Pattern recognition (psychology)","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001520819,0.0003077847,0.0003541582,0.0000311455,0.002503783,0.0003647161,0.0004336112,0.0002674489,0.00127164],"category_scores_gemma":[0.0003724679,0.0002656937,0.0005836287,0.0007099162,0.00147219,0.0005838625,0.0001157655,0.0005643496,0.0001971219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379186,"about_ca_system_score_gemma":0.00004489534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064947,"about_ca_topic_score_gemma":0.01456299,"domain_scores_codex":[0.997115,0.000450971,0.0004101907,0.0006017952,0.0006198111,0.0008021967],"domain_scores_gemma":[0.9979498,0.0008721156,0.0002581046,0.0003655684,0.0003689712,0.0001854681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003265819,0.0002193454,0.08662349,0.00005237997,0.0003613065,0.000003451584,0.1312304,0.000004381169,0.0004463038,0.0006003492,0.7553075,0.02511839],"study_design_scores_gemma":[0.0009725126,0.0001529707,0.0888948,0.00005442561,0.00004217453,0.00001133302,0.08471908,0.0005582694,0.00002094261,0.002880453,0.8206586,0.001034419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919653,0.009905165,0.00005703439,0.04954093,0.002716476,0.001471109,0.0004063352,0.0009546077,0.04298307],"genre_scores_gemma":[0.9724231,0.02187078,0.0005607258,0.001113801,0.0009439536,0.00006722678,0.00002611077,0.00003731116,0.002957032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08045778,"threshold_uncertainty_score":0.9999796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03775136671537369,"score_gpt":0.2772604017378235,"score_spread":0.2395090350224498,"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."}}