{"id":"W4415262877","doi":"10.3390/tourhosp6040216","title":"From Malls to Markets: What Makes Shopping Irresistible for Chinese Tourists?","year":2025,"lang":"en","type":"article","venue":"Tourism and Hospitality","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University; University of Guelph","funders":"","keywords":"Loyalty; Tourism; Value (mathematics); Test (biology); Value for money; Path analysis (statistics); Quality (philosophy); Time value of money","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":[],"consensus_categories":[],"category_scores_codex":[0.0003269568,0.0002585558,0.0003674891,0.0001712607,0.0003310414,0.0008914841,0.0002309707,0.00007318998,0.0001077655],"category_scores_gemma":[0.0002052314,0.0002335854,0.0001092514,0.0002977943,0.00006320269,0.0009805603,0.0004343321,0.00008435818,0.00002932064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002854225,"about_ca_system_score_gemma":0.00001403751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545138,"about_ca_topic_score_gemma":0.0005902928,"domain_scores_codex":[0.9987198,0.00001006176,0.0002979323,0.0004957705,0.0001514187,0.0003250926],"domain_scores_gemma":[0.9992715,0.0001240203,0.00009510098,0.0003559274,0.0001292723,0.00002418463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001352839,0.00009822121,0.8354665,0.0003245923,0.0001190502,0.00001406692,0.00011787,3.201947e-7,0.0001691638,0.0009679525,0.02090708,0.1416799],"study_design_scores_gemma":[0.0005512174,0.00000702528,0.9370481,0.000179054,0.0001722621,1.209077e-7,0.0008620936,0.00005883778,0.00001234732,0.004309925,0.05649563,0.0003033828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835607,0.002650169,0.000495503,0.007411964,0.0009521277,0.0006713308,0.00003148964,0.0001389619,0.004087714],"genre_scores_gemma":[0.9949518,0.00009791942,0.0005939413,0.001223627,0.0005678055,0.0001572069,0.00004470471,0.00002279382,0.002340232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1413765,"threshold_uncertainty_score":0.9525337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097909623773517,"score_gpt":0.269875869651817,"score_spread":0.2588967734140818,"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."}}