{"id":"W4226126191","doi":"10.1177/0193841x221085355","title":"Analyzing the Nexus Between Geopolitical Risk, Policy Uncertainty, and Tourist Arrivals: Evidence From the United States","year":2022,"lang":"en","type":"article","venue":"Evaluation Review","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Nexus (standard); Geopolitics; Tourism; Political science; Economics; Regional science; Geography; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":{"nature":"Expression of concern","reason":"Concerns/Issues about Authorship/Affiliation;Lack of Approval from Company/Institution;","date":"5/11/2023 0:00","openalex_flagged":false},"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01135692,0.0001275861,0.0003465902,0.00007576479,0.0006521938,0.0001039961,0.0003757759,0.00002460781,0.002219213],"category_scores_gemma":[0.004544131,0.00009089265,0.0001051087,0.0006642952,0.00009293205,0.00008955182,0.000239228,0.0003272945,0.00002617636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002128489,"about_ca_system_score_gemma":0.00008012902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01469276,"about_ca_topic_score_gemma":0.00012576,"domain_scores_codex":[0.9976046,0.001034247,0.0006685035,0.0003403409,0.0001432672,0.0002090052],"domain_scores_gemma":[0.9967813,0.002034365,0.0004692925,0.0005634421,0.00008658192,0.00006495147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001305866,0.00003600716,0.9143319,0.0002308404,0.0002082903,5.573488e-7,0.0009995161,0.001486071,1.064189e-7,0.03433916,0.008102235,0.04025229],"study_design_scores_gemma":[0.0001682632,0.00003045562,0.2388498,0.0001896115,0.0001539064,8.003263e-7,0.0001242152,0.4164659,5.33807e-8,0.2425739,0.101287,0.0001560463],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.535503,0.4028267,0.002184984,0.05343141,0.0002056184,0.001788322,0.002070542,0.00003300036,0.001956414],"genre_scores_gemma":[0.9288128,0.06804453,0.00005235277,0.002228009,0.000215488,0.0001664626,0.0003883308,0.000013174,0.0000788382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6754821,"threshold_uncertainty_score":0.9986929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068698492901642,"score_gpt":0.3450513100099599,"score_spread":0.2381814607197958,"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."}}