{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00289671,0.000203194,0.0005761015,0.0008152306,0.0006333046,0.0001115949,0.0004647602,0.0001750357,0.0008509704],"category_scores_gemma":[0.0005994692,0.0001753988,0.0002829682,0.001326201,0.000821619,0.0002138346,0.0001313499,0.0002481561,0.0001403555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006223873,"about_ca_system_score_gemma":0.00006062321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007046346,"about_ca_topic_score_gemma":0.0007076936,"domain_scores_codex":[0.9969265,0.0007821018,0.0002939537,0.0004637491,0.0009871247,0.0005465238],"domain_scores_gemma":[0.9983242,0.0006267579,0.0001851519,0.0004175659,0.0001529427,0.0002934464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002916961,0.001521914,0.3089104,0.0005460906,0.0200357,0.003256055,0.1400889,0.0004854553,0.008288648,0.01258995,0.1451253,0.3562347],"study_design_scores_gemma":[0.01697899,0.02259506,0.6451117,0.0008047009,0.02963194,0.00001485236,0.0504657,0.0203635,0.1320913,0.01344706,0.06183425,0.006660936],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9399951,0.0001360173,0.0003357847,0.001070062,0.0001138511,0.0002343012,0.000008878584,0.0000510023,0.05805504],"genre_scores_gemma":[0.9939983,0.0001148059,0.0001942426,0.00004567326,0.0007411012,0.000008005647,0.000006306711,0.00001624766,0.004875272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3495738,"threshold_uncertainty_score":0.9995658,"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."}}