{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"bcaca9abd155","filters":{"venue":"한국관광학회 국제학술발표대회집"}},"results":[{"id":"W2983914576","doi":"","title":"Economic Impact Analysis of the Olympics and Winter Olympics","year":2014,"lang":"ko","type":"article","venue":"한국관광학회 국제학술발표대회집","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Government (linguistics); Investment (military); Economic impact analysis; Panel data; Political science; Demographic economics; Economics; Economy; Politics; Econometrics","authors":[{"name":"Lan Sutherland","is_ca":false},{"name":"Seung I. Ha","is_ca":false},{"name":"Gunhee Leec","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01401010752287818,"gpt":0.3028676748350976,"spread":0.2888575673122195,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004157103,0.0003646094,0.0003194715,0.002221794,0.0002234718,0.001033213,0.0002127074,0.0001587871,0.004749706],"category_scores_gemma":[0.001095512,0.0001119078,0.0007085928,0.002501864,0.0002268681,0.0003261057,0.0005694252,0.0006068714,0.00035469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009760797,"about_ca_system_score_gemma":0.0005810548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04452504,"about_ca_topic_score_gemma":0.05340452,"domain_scores_codex":[0.9997332,0.00004956273,0.00001486211,0.00002800746,0.0000977464,0.00007661863],"domain_scores_gemma":[0.9992405,0.0001418419,0.0002491426,0.00002783414,0.0002182387,0.0001223545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00051678,0.0005364962,0.9334486,0.0002859484,0.0007518397,0.0009089734,0.000353464,0.02013667,0.001109002,0.006107257,0.008474803,0.02737036],"study_design_scores_gemma":[0.000004333966,0.00008037126,0.9932396,0.00001790142,0.0000585933,0.00002653152,0.0006252921,0.002484317,0.0002070079,0.0001565064,0.003093287,0.000006167525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686937,0.001055637,0.0006231455,0.0002704956,0.00007052639,0.00007498515,0.004629338,0.00002343519,0.02455884],"genre_scores_gemma":[0.9881732,0.0007365898,0.0002370572,0.00003342147,0.00005147851,0.00002419062,0.00497436,0.000007717709,0.005761934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04452504,"threshold_uncertainty_score":0.08853173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}