{"id":"W2999433515","doi":"10.21138/bage.2813","title":"From megaprojects to tourism gentrification? The case of Santa Cruz Verde 2030 (Canary Islands, Spain)","year":2019,"lang":"en","type":"article","venue":"Boletín de la Asociación de Geógrafos Españoles","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Friedrich Naumann Stiftung","keywords":"Megaproject; Geography; Tourism; Quarter (Canadian coin); Urbanism; Gentrification; Sustainability; Neighbourhood (mathematics); Spillover effect; Urban agglomeration; Economy; Economic geography; Environmental planning; Archaeology; Civil engineering; Architecture; Engineering; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001429423,0.0002130177,0.0003148912,0.00006237171,0.0004726988,0.0001461825,0.0006423669,0.0002741615,0.0001944295],"category_scores_gemma":[0.0004750054,0.0001846709,0.0001588955,0.0004354491,0.0003226806,0.0001285008,0.00008617026,0.0003190259,0.0001236895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002609624,"about_ca_system_score_gemma":0.0005071013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05864941,"about_ca_topic_score_gemma":0.007009681,"domain_scores_codex":[0.9974046,0.0008538624,0.0003006918,0.0003974647,0.0004319559,0.00061143],"domain_scores_gemma":[0.9978444,0.001063706,0.000274115,0.0005136986,0.00009796149,0.0002061315],"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":[0.0002376139,0.0004327543,0.3077172,0.00007004332,0.0003870679,0.00140015,0.149748,0.0002961948,0.004148108,0.0299679,0.4856132,0.01998173],"study_design_scores_gemma":[0.001514302,0.0001616271,0.1763439,0.0003090026,0.0002453776,0.0001140131,0.06157529,0.0004463557,0.002096199,0.007952427,0.7482396,0.001001887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654149,0.001306938,0.0002168939,0.004377203,0.0002705602,0.0005265721,0.0002328113,0.0001029246,0.02755124],"genre_scores_gemma":[0.9922631,0.0002207667,0.0008859841,0.0008944261,0.000705246,0.00004215901,0.0000153781,0.00003060419,0.004942308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2626264,"threshold_uncertainty_score":0.9476191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00902067785719524,"score_gpt":0.2900352890022551,"score_spread":0.2810146111450599,"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."}}