{"id":"W3191701170","doi":"10.4324/9780203107362-26","title":"Municipal corporate security and risk mitigation companies in Canadian cities: a new military urbanism?","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urbanism; Business; Environmental planning; Geography; Architecture; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00167582,0.0004815067,0.0003869449,0.002526536,0.03297185,0.01782187,0.002378082,0.003127236,0.01231278],"category_scores_gemma":[0.00410734,0.0005491145,0.0005444919,0.007332901,0.02087741,0.006052795,0.006106327,0.004654341,0.000582797],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1777612,"about_ca_system_score_gemma":0.1700187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917793,"about_ca_topic_score_gemma":0.9967145,"domain_scores_codex":[0.9961867,0.0005155042,0.00005439912,0.0002482798,0.0008955198,0.002099669],"domain_scores_gemma":[0.9968055,0.0003298308,0.000290607,0.0001568051,0.0009289046,0.001488275],"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":[0.00004450616,0.000060121,0.01502877,0.0001254711,0.0000196926,0.0005589589,0.08704176,0.0005171066,0.0001379438,0.7207301,0.1282022,0.04753342],"study_design_scores_gemma":[0.00001320641,0.0000157,0.02420732,0.0002903853,0.00001938317,0.0001644676,0.1838675,0.0004475769,0.00008930854,0.02030759,0.7705027,0.00007483052],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1780845,0.02053621,0.001631249,0.2829039,0.001728971,0.000105481,0.000635888,0.00008190505,0.5142919],"genre_scores_gemma":[0.8874745,0.01219437,0.00108938,0.01281333,0.0003484116,0.00004612423,0.0002563123,0.00006446097,0.08571308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1777612,"threshold_uncertainty_score":0.9536804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02962926557464154,"score_gpt":0.2433022719450154,"score_spread":0.2136730063703738,"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."}}