{"id":"W2403905890","doi":"10.2139/ssrn.2602562","title":"Travel and Tourism Competiveness Analysis","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"George Brown College","funders":"","keywords":"Tourism; Business; Advertising; Marketing; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000705486,0.0002854611,0.0003039959,0.004104552,0.0007536171,0.002679442,0.0003810012,0.0003213716,0.02830241],"category_scores_gemma":[0.002040754,0.0001320702,0.001663098,0.003909656,0.0006375092,0.0008666025,0.0009159126,0.0006662704,0.0009822302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900443,"about_ca_system_score_gemma":0.00265069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05672284,"about_ca_topic_score_gemma":0.06702893,"domain_scores_codex":[0.9996444,0.0001037867,0.00001738629,0.00003225923,0.00006155975,0.0001404906],"domain_scores_gemma":[0.9981841,0.0007191388,0.0002217505,0.00007411,0.0004014097,0.0003994034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001044599,0.0004345913,0.9117275,0.0002250739,0.000760744,0.0006738693,0.001036564,0.01499301,0.0007303114,0.03278429,0.003576265,0.03201326],"study_design_scores_gemma":[0.00003070478,0.0004607595,0.9404566,0.0001152282,0.0007627995,0.0002890441,0.01440102,0.02228185,0.0006961091,0.007675537,0.01277843,0.0000518487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483492,0.0006644538,0.001231985,0.00032798,0.00003567907,0.00004912384,0.001562188,0.00002622323,0.04775307],"genre_scores_gemma":[0.9882392,0.000272225,0.0002423481,0.00002227344,0.00002175306,0.00001564698,0.0006607574,0.000008619815,0.01051716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05672284,"threshold_uncertainty_score":0.1127854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513012040333383,"score_gpt":0.2200916905050743,"score_spread":0.2049615701017405,"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."}}