{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001978921,0.0001074366,0.0006701726,0.006178957,0.0001125042,0.000038308,0.000565578,0.00009771151,0.002702506],"category_scores_gemma":[0.0001360999,0.0001211927,0.0002631244,0.00360545,0.00008821334,0.00011298,0.000033489,0.0001751526,0.00009747352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001448605,"about_ca_system_score_gemma":0.0000876778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.548759,"about_ca_topic_score_gemma":0.07831481,"domain_scores_codex":[0.9983271,0.00006424302,0.0006595986,0.0003939175,0.000111804,0.0004432971],"domain_scores_gemma":[0.9985785,0.0000652811,0.0001750828,0.0006245343,0.000119123,0.0004374538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004525556,0.001221832,0.4759902,0.00007531091,0.003943266,0.00007043476,0.006688472,0.06036352,0.0004989385,0.2511546,0.1569424,0.04259853],"study_design_scores_gemma":[0.0001926621,0.0003366286,0.899859,0.000008185691,0.00005699632,5.002022e-7,0.0002019179,0.05383227,0.0001351,0.009877983,0.03527426,0.000224473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8892325,0.0002534338,0.001607956,0.004279139,0.00002660377,0.0001548806,0.0001601752,0.000007811879,0.1042775],"genre_scores_gemma":[0.9929649,0.0001227423,0.0004255349,0.0001290765,0.00008005115,0.000005362735,0.00002542144,0.0000102719,0.006236685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4704442,"threshold_uncertainty_score":0.9982092,"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."}}