{"id":"W2555832111","doi":"10.5539/ijef.v8n12p10","title":"Modelling the Temporal Effect of Terrorism on Tourism in Kenya","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Halal products and consumer behavior","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distributed lag; Granger causality; Terrorism; Tourism; Error correction model; Econometrics; Economics; Robustness (evolution); Autoregressive model; Cointegration; Short run; Causality (physics); Macroeconomics; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006264759,0.00003938529,0.00009787598,0.00004977042,0.00003055996,0.00001884583,0.0002011664,0.00002529277,0.000008189836],"category_scores_gemma":[0.00003610602,0.00002194389,0.00003835718,0.00001668709,0.00008538234,0.0001281393,0.00001498293,0.00006215506,0.000001393079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003953798,"about_ca_system_score_gemma":0.00004613686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003214214,"about_ca_topic_score_gemma":0.00007734675,"domain_scores_codex":[0.9995627,0.00003449996,0.0002179997,0.00006007814,0.00006155203,0.0000632183],"domain_scores_gemma":[0.999563,0.0001139314,0.0002110215,0.0000431145,0.00005530352,0.00001363304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006720847,0.0001554337,0.06608217,0.000004687537,0.00009169896,0.00007146582,0.004199923,0.0203369,0.0001750375,0.1439453,0.0003726577,0.7638926],"study_design_scores_gemma":[0.01126616,0.002240929,0.04835191,0.001716317,0.00009672422,0.00009596214,0.001415807,0.02171233,0.009724515,0.09543842,0.8068846,0.001056331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931191,0.0001607467,0.00005539305,0.005583569,0.0005216303,0.00004695847,0.000004134847,5.168263e-7,0.0005079342],"genre_scores_gemma":[0.9970242,0.002491178,0.00005740087,0.00002807589,0.0001995552,0.000001132629,7.068256e-8,0.000002457481,0.0001958908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8065119,"threshold_uncertainty_score":0.0894846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173382499674202,"score_gpt":0.2789237846780854,"score_spread":0.2571899596813434,"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."}}