{"id":"W3092275544","doi":"10.1093/irap/lcaa009","title":"China’s ‘Coercive Tourism’: motives, methods and consequences","year":2020,"lang":"en","type":"article","venue":"International Relations of the Asia-Pacific","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Sanctions; Tourism; Sovereignty; State (computer science); Government (linguistics); Political science; Economy; Business; International trade; Development economics; Law; Economics; Politics","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":[0.009361212,0.0004811892,0.000267139,0.002259962,0.003645299,0.0019584,0.001009185,0.0008252367,0.007490277],"category_scores_gemma":[0.01010323,0.0002336483,0.0002754511,0.00379431,0.005499256,0.001045613,0.002735713,0.0008268594,0.0003431199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004970752,"about_ca_system_score_gemma":0.004327438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01974033,"about_ca_topic_score_gemma":0.03384507,"domain_scores_codex":[0.9957389,0.002914217,0.0001378347,0.0002362707,0.0005305531,0.0004421896],"domain_scores_gemma":[0.9920128,0.004854222,0.001056117,0.0009636819,0.0008434581,0.0002696899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000810847,0.001539177,0.3388761,0.001249699,0.0000862395,0.00241443,0.2480137,0.001138989,0.003026156,0.1986325,0.006637639,0.1975746],"study_design_scores_gemma":[0.0001760345,0.001805189,0.5624803,0.001186887,0.0002341791,0.001215438,0.3113109,0.007645071,0.01218471,0.02372073,0.07787902,0.0001614746],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458516,0.0003288977,0.002273252,0.0009525224,0.00005661224,0.0009597066,0.0001277081,0.00001655448,0.04943313],"genre_scores_gemma":[0.9893945,0.0002334859,0.002422528,0.0002360112,0.00002793319,0.0008414597,0.00006150945,0.000008938342,0.006773587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01974033,"threshold_uncertainty_score":0.04950738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0394054807386346,"score_gpt":0.3814339977971966,"score_spread":0.342028517058562,"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."}}