{"id":"W2589124184","doi":"10.1016/j.jdmm.2017.01.003","title":"Domestic tourism of Chinese in Canada: Distinct differences","year":2017,"lang":"en","type":"article","venue":"Journal of Destination Marketing & Management","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Tourism; China; Immigration; Ethnic group; Mainland China; Homogeneous; Mainland; Economic geography; Geography; Population; Political science; Demographic economics; Economy; Sociology; Demography; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003235574,0.0003040023,0.0003738241,0.001920189,0.00342221,0.001989903,0.0009273682,0.0004469044,0.004808522],"category_scores_gemma":[0.0009912391,0.000216528,0.000555147,0.005088419,0.001004849,0.000590992,0.001208648,0.0006786052,0.0003642651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0122235,"about_ca_system_score_gemma":0.01213878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.957099,"about_ca_topic_score_gemma":0.9883775,"domain_scores_codex":[0.9994561,0.00004121333,0.00002676866,0.00006815567,0.00009318486,0.0003145676],"domain_scores_gemma":[0.9989811,0.00007188942,0.0001333273,0.00002259565,0.0003302879,0.0004608337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001592037,0.00008514419,0.9670027,0.00005564383,0.00007586471,0.0004546607,0.02129629,0.00008414999,0.0005072567,0.0007871747,0.001304678,0.00818722],"study_design_scores_gemma":[0.000002460763,0.00001608747,0.9707319,0.00002289098,0.00001362751,0.0000601938,0.02800596,0.00008316723,0.00003123042,0.00005123408,0.0009697741,0.00001156736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968822,0.0002203761,0.0000212969,0.000161935,0.000006687635,0.000007924717,0.0004067594,0.00000282046,0.002290013],"genre_scores_gemma":[0.9976755,0.0002134596,0.00003898764,0.00005645726,0.000003541366,0.000005006329,0.0003642719,0.000004757768,0.001637964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04290098,"threshold_uncertainty_score":0.08868808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935495261846034,"score_gpt":0.3222398772530064,"score_spread":0.3028849246345461,"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."}}