{"id":"W2950499536","doi":"10.14198/inturi2019.17.03","title":"Competitiveness, economic legacy and tourism impacts: World Cup","year":2019,"lang":"en","type":"article","venue":"Investigaciones Turísticas","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Tourism; Mega-; Economic impact analysis; Event (particle physics); Investment (military); Pillar; Economy; Business; Index (typography); Regional science; Economic geography; Geography; Economic growth; Political science; Economics; Engineering; Politics","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004932023,0.0001941901,0.0002933,0.000169539,0.0002805087,0.0002465342,0.0002095147,0.0001038598,0.001724708],"category_scores_gemma":[0.0002090296,0.0001855745,0.00006622942,0.0001894144,0.0004798623,0.0008381444,0.00007023025,0.000179066,0.0008912715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455716,"about_ca_system_score_gemma":0.000412928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002201835,"about_ca_topic_score_gemma":0.002358007,"domain_scores_codex":[0.9985946,0.00009496449,0.0002490207,0.0003232928,0.0002316313,0.0005064638],"domain_scores_gemma":[0.9987888,0.0002692046,0.0001162365,0.0002404423,0.00004263771,0.0005426492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004427148,0.00005566058,0.2274738,0.0000499835,0.00004777251,0.00004745755,0.004000762,0.00002637576,0.0007390392,0.7628643,0.002901464,0.00174909],"study_design_scores_gemma":[0.000623349,0.00005925678,0.1298394,0.0001382451,0.00004117437,0.00001258765,0.001051947,0.00005901183,0.0004665355,0.007520939,0.8597812,0.000406311],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476759,0.0004774673,0.00001165036,0.004198445,0.001080151,0.0003398689,0.00001074974,0.0001262432,0.04607946],"genre_scores_gemma":[0.9900099,0.0001666515,0.0002941104,0.0008513669,0.000518514,0.000009093774,0.00001364523,0.00002209856,0.008114606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8568798,"threshold_uncertainty_score":0.9998866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113108107863019,"score_gpt":0.2984505968555383,"score_spread":0.2773195157769081,"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."}}