{"id":"W2945893052","doi":"","title":"Some notes on smart cities and the corporatization of urban governance","year":2019,"lang":"en","type":"article","venue":"Open Repository and Bibliography (University of Luxembourg)","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Corporatization; Corporate governance; Business; Economics; Finance; Market economy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009653548,0.00007982654,0.0001925755,0.0007430857,0.0001150687,0.00005138432,0.0002129892,0.00005893398,0.000009364386],"category_scores_gemma":[8.436006e-7,0.00006663903,0.00005498076,0.00132291,0.0003395424,0.0003792543,0.0001092782,0.00006904377,4.977381e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002679948,"about_ca_system_score_gemma":0.000004734526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003724544,"about_ca_topic_score_gemma":0.000008648407,"domain_scores_codex":[0.9996237,0.00002018086,0.00007996606,0.0001061054,0.00009611907,0.00007397376],"domain_scores_gemma":[0.9995881,0.0001042687,0.00009145143,0.0001652526,0.00003265464,0.00001826623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000335385,0.00003563194,0.8859859,0.0003457318,0.0002737733,0.000008380232,0.0007262153,0.0002892037,0.001997154,0.1034853,0.005610076,0.0009072503],"study_design_scores_gemma":[0.004102627,0.0005468085,0.9558516,0.0004358745,0.0001554118,0.00001932799,0.007648155,0.002413158,0.01293006,0.007831623,0.007545598,0.0005197934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893829,0.00187021,0.00006460824,0.00009369238,0.0001240383,0.0002451304,0.00001377342,0.00004287349,0.008162756],"genre_scores_gemma":[0.9946122,0.004993713,0.0001622499,0.00001114328,0.00001342296,6.050855e-7,0.000001756018,0.000004897245,0.0001999696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09565364,"threshold_uncertainty_score":0.2717461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007423397981474142,"score_gpt":0.1659545616541392,"score_spread":0.1585311636726651,"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."}}