{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001802734,0.0003429324,0.0002514583,0.001623789,0.007852689,0.01716022,0.001059629,0.003581642,0.01197899],"category_scores_gemma":[0.005942379,0.0004778937,0.0004178642,0.001736216,0.009238231,0.00661154,0.005975853,0.005523594,0.001197667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02131072,"about_ca_system_score_gemma":0.004223416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06387641,"about_ca_topic_score_gemma":0.04923415,"domain_scores_codex":[0.9973539,0.0006379135,0.00008562279,0.0004678555,0.0006649726,0.0007898122],"domain_scores_gemma":[0.9965644,0.0009361636,0.0006991883,0.0002540403,0.0008636137,0.000682724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004364176,0.00006730483,0.01358594,0.0002596457,0.00004939294,0.0009043283,0.06236199,0.001208203,0.001403697,0.729275,0.0990664,0.09138169],"study_design_scores_gemma":[0.00001946397,0.0001553904,0.02317554,0.0003136512,0.00003106687,0.0002765408,0.01674975,0.000584206,0.001132035,0.01573487,0.9417447,0.00008270133],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1767258,0.01129887,0.006372364,0.1261417,0.002623571,0.00009975913,0.0005725455,0.0003231385,0.6758422],"genre_scores_gemma":[0.899967,0.004281883,0.0008700939,0.008744946,0.0009013803,0.0000654482,0.000314175,0.0001389071,0.08471606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9921473,"threshold_uncertainty_score":0.1546208,"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."}}