{"id":"W2012376824","doi":"10.1002/j.2325-8012.2003.tb00521.x","title":"Impact of the 1996 Summer Olympic Games on Employment and Wages in Georgia","year":2003,"lang":"en","type":"article","venue":"Southern Economic Journal","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Quarter (Canadian coin); Demographic economics; Geography; Estimation; 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":[0.0008296139,0.00008456715,0.0001463099,0.00006605269,0.0001503036,0.00004928689,0.0001357163,0.00004920331,0.0006058101],"category_scores_gemma":[0.00005636171,0.00005474682,0.0001172129,0.00004318741,0.0001227374,0.00008886224,0.00001141574,0.0001441144,0.00003650619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003166289,"about_ca_system_score_gemma":0.0004768319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001952793,"about_ca_topic_score_gemma":0.002221399,"domain_scores_codex":[0.999225,0.0001186342,0.0002104218,0.00008956636,0.00009280709,0.000263577],"domain_scores_gemma":[0.9995603,0.00004119299,0.0001759719,0.00009828751,0.000009532616,0.0001147408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001675011,0.00003910686,0.9792461,8.998113e-7,0.00003672892,0.000002833698,0.01568266,0.0001180809,0.00004737538,0.002071207,0.0001800542,0.002558163],"study_design_scores_gemma":[0.001380592,0.0001494619,0.9643693,0.00007757892,0.00002444985,0.00003335731,0.008611587,0.000005470766,0.0002158153,0.005118266,0.01981499,0.0001991213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992803,0.000222105,5.160741e-7,0.0002297665,0.0003149663,0.00008896063,0.000008901623,0.000003734562,0.006328016],"genre_scores_gemma":[0.9982373,0.00009703662,0.000005215825,0.00005122522,0.00009919586,8.751156e-7,1.758654e-7,0.000008564761,0.001500411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01963494,"threshold_uncertainty_score":0.6633196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701547808781527,"score_gpt":0.3090591086084624,"score_spread":0.2820436305206471,"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."}}