{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002978494,0.0003968289,0.0002854311,0.0009653042,0.01147093,0.006792946,0.0006414698,0.0008692875,0.00240497],"category_scores_gemma":[0.00424797,0.0002692678,0.0001467396,0.0007352112,0.0202864,0.002828569,0.003843018,0.001789836,0.0002131729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004372694,"about_ca_system_score_gemma":0.001235107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005983307,"about_ca_topic_score_gemma":0.01444445,"domain_scores_codex":[0.9976833,0.001568956,0.00005403048,0.0001679249,0.0001901035,0.0003357836],"domain_scores_gemma":[0.9988298,0.000539225,0.0001892848,0.00008914905,0.00008815204,0.000264367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003653538,0.00003607049,0.003101251,0.00004783255,0.00000518563,0.0005431037,0.8958877,0.00008156122,0.0004354616,0.087162,0.002519894,0.01014349],"study_design_scores_gemma":[0.0000319128,0.00007734223,0.01260971,0.0001858659,0.00001127726,0.0007661228,0.8521355,0.0002905669,0.0005170086,0.01790671,0.1154288,0.00003918755],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8949066,0.001433229,0.0016082,0.005371633,0.0001872199,0.00005035679,0.00002758461,0.00003231408,0.09638286],"genre_scores_gemma":[0.9972059,0.0001022093,0.0002114258,0.0001720368,0.00001400041,0.00001121625,0.000006833113,0.00000796689,0.002268387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01147093,"threshold_uncertainty_score":0.0317263,"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."}}