{"id":"W2136083354","doi":"10.1111/1468-2427.00473","title":"Technology vs ‘terrorism’: circuits of city surveillance since September 11th","year":2003,"lang":"en","type":"article","venue":"International Journal of Urban and Regional Research","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Terrorism; Political science; Criminology; Computer security; Sociology; Law; Computer science","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":[0.003463231,0.00007080068,0.0001675914,0.0005262305,0.0002113357,0.0000621153,0.0007057901,0.0001376741,0.0001015811],"category_scores_gemma":[0.002656457,0.0000619188,0.00007007862,0.0003985884,0.0008418739,0.0002883527,0.0001227895,0.0004901242,0.000007752591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001582863,"about_ca_system_score_gemma":0.0005008137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002429301,"about_ca_topic_score_gemma":0.0002543033,"domain_scores_codex":[0.9972858,0.0004424138,0.0003393686,0.0001522286,0.001541503,0.0002386281],"domain_scores_gemma":[0.9972758,0.0003622815,0.000228126,0.0001278471,0.001877918,0.0001280387],"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":[0.000767323,0.0008295221,0.3532277,0.00006188646,0.0004392107,0.0002506186,0.00573647,0.000009359068,0.003283013,0.5166923,0.1006328,0.01806974],"study_design_scores_gemma":[0.00111161,0.0003652404,0.02988833,0.0001718779,0.000006146824,0.0002138363,0.002394724,0.000023758,0.001233192,0.08826955,0.8761502,0.0001715752],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314768,0.004523694,0.0009617359,0.03085523,0.001474224,0.0002803541,0.00003836723,0.00002307179,0.0303665],"genre_scores_gemma":[0.9972786,0.001328235,0.0001750194,0.00005151418,0.0003728056,0.000002185626,0.000002233368,0.000005421149,0.0007840234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7755173,"threshold_uncertainty_score":0.3180219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001147853700988,"score_gpt":0.4027980323862009,"score_spread":0.3026832470161022,"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."}}