{"id":"W2032379548","doi":"10.3727/108354203108750049","title":"DISAGGREGATING VISITOR FLOWS: THE EXAMPLE OF CHINA","year":2003,"lang":"en","type":"article","venue":"Tourism Analysis","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Visitor pattern; China; Geography; Economic geography; Marketing; Business; Computer science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002101257,0.00009903906,0.0002647715,0.0002320778,0.0006864109,0.0001162499,0.0006077813,0.00006272898,0.002445128],"category_scores_gemma":[0.0009580966,0.00007241739,0.0003194768,0.002106469,0.0002905615,0.0001942953,0.00007151097,0.0001586716,0.00006209345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005071078,"about_ca_system_score_gemma":0.0001147229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06674072,"about_ca_topic_score_gemma":0.00319147,"domain_scores_codex":[0.9976308,0.0005821169,0.0002341877,0.0002456114,0.0009178215,0.0003894393],"domain_scores_gemma":[0.9987684,0.0003461014,0.0001514822,0.0004948849,0.000113722,0.0001254284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009238895,0.001409985,0.2098404,0.0001047046,0.01366964,0.0005474696,0.1576378,0.009928712,0.001565084,0.448962,0.08972701,0.06651469],"study_design_scores_gemma":[0.002681596,0.0003371705,0.1957877,0.0001220848,0.01020163,0.000003376182,0.1258139,0.01150061,0.006361032,0.06422576,0.5804404,0.002524797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7677267,0.0003821673,0.00105837,0.00211736,0.0001491319,0.000231717,0.000009235669,0.00006011143,0.2282652],"genre_scores_gemma":[0.9935369,0.00007892946,0.001012442,0.0000242385,0.000253721,0.000006630214,0.000002534004,0.000008344792,0.005076235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4907134,"threshold_uncertainty_score":0.9984668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216979358263827,"score_gpt":0.3109431478658959,"score_spread":0.2892452120395132,"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."}}