{"id":"W2755093261","doi":"10.1111/coep.12270","title":"MEGA‐EVENTS AND TOURISM: THE CASE OF BRAZIL","year":2017,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Mega-; Quarter (Canadian coin); Football; Economy; Economic impact analysis; Event (particle physics); Geography; Economics; Business; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004173705,0.0002024085,0.0001851911,0.0009076903,0.001544859,0.002060367,0.0004339908,0.0005957723,0.004681141],"category_scores_gemma":[0.001458751,0.000126381,0.0004336514,0.001662015,0.001195306,0.000920993,0.001572516,0.000599719,0.0001862604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005035648,"about_ca_system_score_gemma":0.002183265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.294773,"about_ca_topic_score_gemma":0.3794845,"domain_scores_codex":[0.9997405,0.00007010278,0.000007061599,0.00001725309,0.00002952154,0.0001354776],"domain_scores_gemma":[0.9995061,0.0001360092,0.0001044286,0.00002288445,0.00008179432,0.0001488741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002830147,0.0004730593,0.442846,0.0008823575,0.000226631,0.01751851,0.04395956,0.008307207,0.001865849,0.3928364,0.01703872,0.07376275],"study_design_scores_gemma":[0.00008560689,0.0001932833,0.6273286,0.001238507,0.000265852,0.002911675,0.1639379,0.01278659,0.000746189,0.03048974,0.1599317,0.00008456202],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8749478,0.002660037,0.0003511656,0.006553221,0.00003268462,0.00005511041,0.0003724186,0.00001377217,0.1150138],"genre_scores_gemma":[0.9953062,0.001607701,0.00008690043,0.0001661314,0.000007804036,0.000008446258,0.0000594126,0.000003892768,0.002753476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.294773,"threshold_uncertainty_score":0.5861145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05909873994195015,"score_gpt":0.3747687921857741,"score_spread":0.3156700522438239,"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."}}