{"id":"W2962965537","doi":"10.5539/ibr.v12n8p23","title":"Information Sources and Domestic Tourism at Sanyuesan Festival, China","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Sample (material); China; Distribution (mathematics); Marketing; Business; Phenomenon; Population; Domestic tourism; Geography; Advertising; Sociology; Tourism geography; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008316823,0.0001561715,0.0001778521,0.001770135,0.001265768,0.00184236,0.0002739454,0.0001881516,0.00422835],"category_scores_gemma":[0.002101852,0.0001016509,0.0001428787,0.002871142,0.0004845987,0.000639193,0.000965427,0.0002454846,0.0001899948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002047494,"about_ca_system_score_gemma":0.00160913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04013197,"about_ca_topic_score_gemma":0.07640672,"domain_scores_codex":[0.9996039,0.0001157724,0.00003762697,0.00003490585,0.0001178467,0.00008992269],"domain_scores_gemma":[0.9985855,0.0003309162,0.0003999391,0.00004647566,0.0002600325,0.000377182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000204008,0.0002075872,0.9172961,0.0002797644,0.00005824679,0.0009756638,0.0427904,0.000236948,0.000748352,0.001856239,0.002217708,0.03312901],"study_design_scores_gemma":[0.000006022671,0.00005957823,0.9619344,0.00005912158,0.00001622555,0.0000750395,0.03372887,0.0002974736,0.0001120674,0.0001953888,0.00350609,0.000009632814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962177,0.000114182,0.00004554335,0.0001708786,0.000004546959,0.00001063769,0.0001311618,0.000003061979,0.003302353],"genre_scores_gemma":[0.9982864,0.0001768697,0.00005228887,0.00002043998,0.000005325129,0.000007141104,0.0001585538,0.000001986473,0.001290899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04013197,"threshold_uncertainty_score":0.07979679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04123087477047667,"score_gpt":0.3999665693081227,"score_spread":0.358735694537646,"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."}}