{"id":"W2050230152","doi":"10.1177/0042098012471981","title":"Business Improvement Associations and Public Area Video Surveillance in Canadian Cities","year":2013,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); General partnership; Liberalization; Public policy; Public space; Function (biology); Public relations; Space (punctuation); Business; Political science; Public administration; Regional science; Economic growth; Sociology; Economics; Geography; Finance; Engineering; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003589444,0.00008559605,0.0001670464,0.00008470647,0.0004972297,0.0001279225,0.00009693863,0.00004388795,0.00002762001],"category_scores_gemma":[0.001295773,0.00008094768,0.0000140238,0.0003382348,0.0002058986,0.0002317089,0.00003284719,0.00006739304,0.00001612853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004077931,"about_ca_system_score_gemma":0.0002573965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8165131,"about_ca_topic_score_gemma":0.9631246,"domain_scores_codex":[0.9990142,0.00005275616,0.0001377996,0.0001605899,0.0001833713,0.0004513084],"domain_scores_gemma":[0.9992822,0.0001927608,0.00007151692,0.00007940295,0.0002538947,0.0001202525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[2.778779e-7,0.00000668791,0.8853336,0.000004717622,0.00002391078,0.00000133025,0.009144894,6.267367e-7,0.000003036943,0.002139449,0.1023188,0.001022715],"study_design_scores_gemma":[0.0001016755,0.000007709295,0.8800459,0.00001632393,0.000002218046,7.851216e-8,0.008444861,0.000006992002,7.14255e-7,0.0006930548,0.1105713,0.0001092013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561695,0.008832577,0.000001372856,0.01891233,0.0003370721,0.0002380645,0.000057963,0.00004639949,0.01540467],"genre_scores_gemma":[0.9923024,0.0008238244,0.00001828813,0.000358176,0.0001047865,0.00005887757,0.000004358708,0.000004983467,0.006324339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1466115,"threshold_uncertainty_score":0.3824339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03855646941726575,"score_gpt":0.2691304423781515,"score_spread":0.2305739729608858,"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."}}