{"id":"W2808508618","doi":"","title":"MICE산업의 고용효과 및 경제기여도에 관한 국제비교 연구: 미국, 캐나다, 멕시코, 영국을 중심으로","year":2018,"lang":"ko","type":"article","venue":"MICE관광연구(구 컨벤션연구)","topic":"Consumer Perception and Purchasing Behavior","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Position (finance); Geography; Agricultural economics; Economics; Finance","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":[0.000417661,0.0001428641,0.0001189916,0.001191961,0.0005165019,0.0008437873,0.0001663362,0.0001573404,0.006120927],"category_scores_gemma":[0.001217485,0.00006460286,0.00034878,0.001319816,0.0004412395,0.0004512676,0.000491927,0.0003135596,0.000588129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557294,"about_ca_system_score_gemma":0.001582557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07186128,"about_ca_topic_score_gemma":0.1220076,"domain_scores_codex":[0.999674,0.00004851055,0.00001543727,0.00003256615,0.0001349909,0.00009451605],"domain_scores_gemma":[0.9991393,0.0001823491,0.0003166621,0.00002919397,0.0001846589,0.0001477976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006958187,0.00006694043,0.9755868,0.00004178391,0.00004362053,0.00009975665,0.0005863736,0.0001449229,0.0002647565,0.001137492,0.0009398845,0.02101801],"study_design_scores_gemma":[0.00000148722,0.00004347504,0.9947363,0.00001810485,0.00002969627,0.00006635616,0.001700277,0.0001083903,0.0002238002,0.00008241086,0.002986069,0.000003638631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988892,0.0003892276,0.0001687449,0.0004911156,0.00001711809,0.0000149061,0.0004150929,0.000004969765,0.009606856],"genre_scores_gemma":[0.9956368,0.0004335169,0.0002008672,0.00008521834,0.00002175526,0.00001101434,0.0003230095,0.000001736105,0.003286164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9281387,"threshold_uncertainty_score":0.142886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03164817509859304,"score_gpt":0.269414727154876,"score_spread":0.2377665520562829,"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."}}