{"id":"W2382945864","doi":"","title":"An analysis of Canadian source of tourist market to China","year":2009,"lang":"en","type":"article","venue":"Tourism Research","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; China; Business; Government (linguistics); Adventure; Order (exchange); Marketing; Convention; Advertising; Geography; Political science; Finance","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":[0.0003189897,0.0005416398,0.0003723438,0.007286869,0.002429724,0.003031166,0.0009005728,0.0003398808,0.009920192],"category_scores_gemma":[0.0019616,0.0002528102,0.0009039643,0.01127642,0.0004152044,0.0006418625,0.0009722901,0.0005225303,0.0005987703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02735016,"about_ca_system_score_gemma":0.02389932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9819422,"about_ca_topic_score_gemma":0.9838456,"domain_scores_codex":[0.9993951,0.0000156739,0.00001890327,0.00006454672,0.0002968611,0.0002087643],"domain_scores_gemma":[0.9980832,0.0001324383,0.0001992057,0.00004323045,0.001221785,0.0003201151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003518251,0.0001391599,0.9151291,0.0002998178,0.0002928418,0.002592252,0.003668197,0.003800888,0.001094309,0.01077393,0.03018185,0.03167592],"study_design_scores_gemma":[0.00001502991,0.00002198725,0.976636,0.00003005679,0.00006180165,0.000124731,0.003234717,0.003311486,0.0002013511,0.0001363799,0.01618154,0.00004492257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520213,0.0009531644,0.0001968345,0.000530673,0.00002296459,0.00008922147,0.01632819,0.00005028995,0.02980746],"genre_scores_gemma":[0.9657664,0.001007071,0.0002181267,0.00009567392,0.00001639255,0.00004756776,0.01679664,0.00002981991,0.01602232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02735016,"threshold_uncertainty_score":0.1984402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05300312710690197,"score_gpt":0.2956108245076073,"score_spread":0.2426076974007054,"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."}}