{"id":"W2593724393","doi":"","title":"“Ai, Mouraria!” Music, Tourism, and Urban Renewal in a Historic Lisbon Neighbourhood","year":2016,"lang":"en","type":"article","venue":"MUSICultures","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban regeneration; Neighbourhood (mathematics); Redevelopment; Sonority hierarchy; Tourism; Gentrification; City marketing; Sociology; Economic geography; Aesthetics; Political science; Advertising; Economy; Geography; Civil engineering; Art; Engineering; Environmental planning; Business; Law; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000904331,0.0001584302,0.0001513353,0.00007753961,0.0001690294,0.0002024341,0.0001219216,0.00005240737,0.002474966],"category_scores_gemma":[0.00002570783,0.00008880335,0.00004631502,0.00004946031,0.00007449089,0.0005271418,0.00007442235,0.00007982129,0.00002687813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005726059,"about_ca_system_score_gemma":0.000005818422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150095,"about_ca_topic_score_gemma":0.013293,"domain_scores_codex":[0.9991716,0.00003994469,0.0001880746,0.0002397846,0.0001486002,0.0002120284],"domain_scores_gemma":[0.9996657,0.00003150617,0.00006204201,0.000137835,0.00005441874,0.00004845288],"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":[0.00008167794,0.00007746138,0.001945345,0.00004357946,0.00003002224,0.00002711788,0.04972218,7.817115e-7,0.003924665,0.2565943,0.6736376,0.01391529],"study_design_scores_gemma":[0.0007034471,0.00007684254,0.01010748,0.00006117834,0.00001870003,8.933142e-7,0.001078332,0.00001079934,0.00007314509,0.00643451,0.9811932,0.0002414213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7198531,0.001184207,0.000008134361,0.01021025,0.00134637,0.0004347265,0.00002646619,0.000197499,0.2667392],"genre_scores_gemma":[0.9414812,0.00002845786,0.00002323775,0.001146529,0.001430911,0.00002740323,0.00001607476,0.00001196667,0.05583427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3075556,"threshold_uncertainty_score":0.9984369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05036874061321873,"score_gpt":0.2058310114899567,"score_spread":0.155462270876738,"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."}}