{"id":"W3034461287","doi":"10.4324/9781315660417-11","title":"Policing and security in Vancouver: making the city look good when the world is watching","year":2016,"lang":"en","type":"article","venue":"","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Sociology","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":[0.001190155,0.0003057183,0.00029193,0.001027627,0.02391762,0.008208315,0.0008233183,0.001671097,0.004114606],"category_scores_gemma":[0.004722175,0.0003804973,0.0001535413,0.001714304,0.007051765,0.001332148,0.002953888,0.003232131,0.000366056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01321195,"about_ca_system_score_gemma":0.02063699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8785096,"about_ca_topic_score_gemma":0.9641128,"domain_scores_codex":[0.997952,0.0007136364,0.00004498104,0.00008796679,0.0004854695,0.0007158947],"domain_scores_gemma":[0.9951178,0.000454392,0.0004909003,0.0001008278,0.001105395,0.002730795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001234553,0.0001470906,0.1853693,0.0000848679,0.00003607478,0.000720199,0.7618002,0.0001209458,0.0007375861,0.002640166,0.01442246,0.03379767],"study_design_scores_gemma":[0.000003861391,0.00003278209,0.05791092,0.00006667678,0.000008650612,0.00007400195,0.9239041,0.00003835987,0.00008128494,0.0002241799,0.01763083,0.0000243805],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705181,0.0004927968,0.00007782594,0.00651949,0.0001024417,0.00001683313,0.00004031031,0.000006162445,0.02222611],"genre_scores_gemma":[0.9947529,0.0003427685,0.00006208284,0.0004684977,0.00001491707,0.000005481799,0.00002587327,0.000007048267,0.004320378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1214904,"threshold_uncertainty_score":0.2444118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04424454085447056,"score_gpt":0.3627303182126414,"score_spread":0.3184857773581709,"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."}}