{"id":"W2337490025","doi":"","title":"Introduction: Urbanizing cultural policy","year":2013,"lang":"en","type":"book","venue":"QUT ePrints (Queensland University of Technology)","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Politics; Creative Cities; Cultural policy; Post-industrial society; Gentrification; Zoning; Government (linguistics); Cultural center; Urban planning; Urban policy; The arts; Political science; Public administration; Economy; Sociology; History; Engineering; Law; Archaeology; Civil engineering; Creativity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001454217,0.0002323834,0.0004083316,0.0004282246,0.000592886,0.00003516988,0.0007296071,0.001067964,0.004106547],"category_scores_gemma":[0.0001286386,0.0002374236,0.0001365045,0.0004213527,0.00118496,0.0001844394,0.0003468156,0.0006473672,0.0005263737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008576909,"about_ca_system_score_gemma":0.0008922358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004992361,"about_ca_topic_score_gemma":0.001170881,"domain_scores_codex":[0.9986638,0.00003350062,0.0001990193,0.0004328165,0.0002968062,0.0003740323],"domain_scores_gemma":[0.9988241,0.00001899268,0.0003028054,0.0003461955,0.0003979155,0.0001100425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008053024,0.00001553747,0.0004169933,0.00001637833,0.00009534644,0.00001416004,0.001059317,6.880093e-7,0.00001477416,0.07372707,0.9071379,0.01749383],"study_design_scores_gemma":[0.0001961728,0.00002312136,0.0005053948,0.00007332075,0.00003987963,0.000004592755,0.005008233,5.533005e-7,0.00003606351,0.004910585,0.9889262,0.0002758448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006357051,0.0002893481,0.00002507571,0.09278484,0.0004765042,0.0005242737,0.0000257051,0.0004330124,0.8990842],"genre_scores_gemma":[0.001546934,0.0009454205,0.0007196437,0.00002841401,0.0008662955,5.329965e-7,0.00003461275,0.00001250689,0.9958456],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09676146,"threshold_uncertainty_score":0.9968038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780260699704618,"score_gpt":0.2354112022124114,"score_spread":0.2176085952153652,"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."}}