{"id":"W2806738038","doi":"10.3727/108354218x15210313771322","title":"Effect of Terrorism and Travel Warning On Kenyan Tourism Demand","year":2018,"lang":"en","type":"article","venue":"Tourism Analysis","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrorism; Quarter (Canadian coin); Tourism; Kenya; Warning system; Business; Warning signs; Advertising; Geography; Political science; Transport engineering","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":[0.0005127948,0.0003233567,0.0003268054,0.0004480355,0.0004164205,0.0009683744,0.0002534341,0.0005771525,0.003723319],"category_scores_gemma":[0.002335089,0.0002488529,0.0005823572,0.0006159011,0.0003706904,0.0006996778,0.0006579991,0.001045579,0.0003449752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580041,"about_ca_system_score_gemma":0.00131632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08319875,"about_ca_topic_score_gemma":0.07237824,"domain_scores_codex":[0.9996722,0.00009126055,0.0000210629,0.00004046164,0.00005330231,0.0001217009],"domain_scores_gemma":[0.9985836,0.0006619752,0.0004962734,0.00003619766,0.0001085682,0.0001133892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001019819,0.0004992046,0.9353167,0.0002451232,0.0003294664,0.001386463,0.000614589,0.04118578,0.002432552,0.002331745,0.002808243,0.0118303],"study_design_scores_gemma":[0.00004779406,0.0004852294,0.9306459,0.00008054429,0.0001958771,0.0002127027,0.003212085,0.06001078,0.001448495,0.0006196488,0.00298269,0.00005818147],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965338,0.0002522688,0.0001489297,0.0004137854,0.00001246226,0.00001259995,0.0009582367,0.00000568514,0.001662225],"genre_scores_gemma":[0.9976987,0.0003269768,0.00008151268,0.00003191063,0.000005699455,0.000009403268,0.0007188322,0.000001696471,0.001125245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08319875,"threshold_uncertainty_score":0.165429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228494292741682,"score_gpt":0.3324789464961437,"score_spread":0.3201940035687268,"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."}}