{"id":"W3196365725","doi":"10.4000/brussels.5678","title":"The Brussels Smart City: how “intelligence” can be synonymous with video surveillance","year":2021,"lang":"fr","type":"article","venue":"Brussels Studies","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Political science; Humanities; Centralisation; Public administration; Ethnology; Sociology; Law; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.002969726,0.0004562222,0.0002768441,0.002260661,0.005413731,0.01472753,0.001103907,0.003301456,0.008541411],"category_scores_gemma":[0.007673445,0.0004235859,0.0003829594,0.002322033,0.0226079,0.01133893,0.006322472,0.00422428,0.00102175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01128331,"about_ca_system_score_gemma":0.005826129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08768812,"about_ca_topic_score_gemma":0.08580581,"domain_scores_codex":[0.9950786,0.002643151,0.0001474617,0.0007448007,0.0007558067,0.0006301096],"domain_scores_gemma":[0.9964276,0.002247729,0.0003311737,0.0003380977,0.000385396,0.0002700134],"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":[0.00001863924,0.000008671847,0.001011913,0.00006251792,0.000005674638,0.0001905067,0.02526424,0.0004294531,0.0002513154,0.9539813,0.00465333,0.01412244],"study_design_scores_gemma":[0.00001322646,0.00003617337,0.005548205,0.0008348313,0.00001555459,0.0003806458,0.0464169,0.001640302,0.0008584688,0.1923245,0.7518557,0.00007543794],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06467102,0.009482007,0.04383656,0.07090522,0.001264559,0.00008419576,0.0002128322,0.0002159623,0.8093277],"genre_scores_gemma":[0.9255255,0.005472194,0.008300859,0.004636347,0.0003714748,0.0001128691,0.0001237958,0.000216674,0.05524022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08768812,"threshold_uncertainty_score":0.1743554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03701233266266922,"score_gpt":0.245253326787166,"score_spread":0.2082409941244968,"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."}}