{"id":"W2902529538","doi":"10.1111/cico.12339","title":"Making Jerusalem “Cooler”: Creative Script, Youth Flight, and Diversity","year":2018,"lang":"en","type":"article","venue":"City and Community","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Hebrew University of Jerusalem","keywords":"Creative city; Elite; Politics; Sociology; Diversity (politics); Destinations; Creative class; Political economy; Creative Cities; Political science; Economy; Economic geography; Tourism; Creativity; Law; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006358283,0.0000769078,0.0001063534,0.00001893031,0.007240266,0.0001128843,0.0001885531,0.00008265641,0.0002765273],"category_scores_gemma":[0.0001143362,0.00006790767,0.00001696141,0.0001242357,0.0009243453,0.0001843953,0.0007114849,0.000345777,0.000004426116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005048249,"about_ca_system_score_gemma":0.00003198461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.030949,"about_ca_topic_score_gemma":0.02018123,"domain_scores_codex":[0.9991291,0.0004074429,0.00007446783,0.00008894965,0.0001270701,0.0001729242],"domain_scores_gemma":[0.999579,0.00007301111,0.0000414398,0.0001171255,0.0000960512,0.00009333562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005817595,0.0001049892,0.2884305,0.00001148686,0.00005246647,0.000002178978,0.6707541,4.057645e-8,0.00001296889,0.003837255,0.01249017,0.0242457],"study_design_scores_gemma":[0.0003422968,0.0001396123,0.4598288,0.00007949708,0.00003964694,0.000001473293,0.3951765,0.00000611546,0.0001456826,0.003242351,0.1407184,0.0002796225],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9261219,0.00009756556,0.00002095002,0.0006713634,0.0000896062,0.00007948197,0.00001363735,0.00003759938,0.07286792],"genre_scores_gemma":[0.9949972,0.00009890459,0.00006881691,0.0002433102,0.00009202497,9.033437e-7,0.000004059947,0.000001940448,0.004492853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2755776,"threshold_uncertainty_score":0.9976979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2294213561078382,"score_gpt":0.3275929187393053,"score_spread":0.09817156263146706,"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."}}