{"id":"W2010123130","doi":"10.3138/cjccj.47.4.655","title":"Open-Street Camera Surveillance and Governance in Canada","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Crime, Deviance, and Social Control","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Panopticon; CONTEST; Context (archaeology); Sociology; Corporate governance; Collusion; Politics; Power (physics); Social media; Open government; Public relations; Media studies; Political science; Law; Open data; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00244573,0.0003562547,0.0007942478,0.0002859798,0.0007618348,0.0002327618,0.001158797,0.0004113833,0.0001397005],"category_scores_gemma":[0.00509297,0.0004098207,0.00007951795,0.0001752355,0.001028666,0.0005690215,0.0000920539,0.001175887,0.000002615618],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003809888,"about_ca_system_score_gemma":0.02495352,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9716933,"about_ca_topic_score_gemma":0.9996684,"domain_scores_codex":[0.9957961,0.0009029655,0.0007479719,0.0004791517,0.0001674283,0.001906416],"domain_scores_gemma":[0.9954486,0.001525288,0.0005003067,0.0002751404,0.0003896757,0.001860935],"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":[0.0005294802,0.0001139739,0.08258312,0.001489333,0.0002109866,0.01184925,0.1777007,0.0008418045,0.0001429055,0.5512539,0.007543163,0.1657415],"study_design_scores_gemma":[0.002620479,0.0003967427,0.3322254,0.000439561,0.002528998,0.00213774,0.5293564,0.0003155395,0.00003933187,0.003830269,0.1249336,0.001175916],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673846,0.006806451,0.00009769891,0.01211603,0.0006198051,0.0002562556,0.00006806038,0.00001189557,0.01263925],"genre_scores_gemma":[0.9890744,0.004494782,0.001044632,0.004427214,0.0005922252,0.00001587578,0.00000394727,0.00003054914,0.0003163544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5474235,"threshold_uncertainty_score":0.9998354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06600287265739689,"score_gpt":0.3101632107829798,"score_spread":0.2441603381255829,"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."}}