{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004955277,0.0003416388,0.0002350659,0.001975453,0.0006541955,0.002679427,0.0003217428,0.0002595541,0.006289172],"category_scores_gemma":[0.001242047,0.00008379443,0.0004525065,0.003613048,0.0005390132,0.0008929941,0.001313566,0.0005524689,0.0004280709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119229,"about_ca_system_score_gemma":0.0008474099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0301683,"about_ca_topic_score_gemma":0.04887275,"domain_scores_codex":[0.9997346,0.00004098807,0.00001550021,0.00003270675,0.00008482298,0.00009133816],"domain_scores_gemma":[0.9990205,0.000135711,0.0003832987,0.00003284049,0.0001950877,0.0002326816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002458987,0.000235319,0.9547291,0.000419106,0.0002012291,0.0005718385,0.001990152,0.0008006585,0.0002633237,0.002369576,0.005784377,0.03238944],"study_design_scores_gemma":[9.83014e-7,0.00005251524,0.9918161,0.00005071592,0.00002258532,0.00004161891,0.003850082,0.0001382064,0.00005451251,0.000101127,0.003862977,0.000008663168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658741,0.001625538,0.0002080778,0.0005605822,0.00007805507,0.00005540288,0.002908885,0.00001676996,0.02867261],"genre_scores_gemma":[0.9934396,0.001071103,0.0002135601,0.00005451225,0.00005055059,0.00002866147,0.001709257,0.00000715812,0.003425629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0301683,"threshold_uncertainty_score":0.0599854,"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."}}