{"id":"W2744352704","doi":"10.5539/jms.v7n3p90","title":"Construction and Comparison of a Correlation Model on the Marketing Effect of Cultural and Creative Landmarks on Regional Tourism Development","year":2017,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"North China University of Technology","keywords":"Tourism; Marketing; Perception; Landmark; City marketing; Value (mathematics); Advertising; Geography; Sociology; Business; Psychology; Cartography; Computer science","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":[0.01190726,0.001524562,0.001044579,0.003705323,0.001142912,0.002941474,0.00130699,0.0008191277,0.00809128],"category_scores_gemma":[0.03279978,0.0006973935,0.004008245,0.003328604,0.00134855,0.002531145,0.001879746,0.001528776,0.000712014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003211997,"about_ca_system_score_gemma":0.006384753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01261553,"about_ca_topic_score_gemma":0.00599384,"domain_scores_codex":[0.9893911,0.008085222,0.0004214772,0.0007676983,0.0009027285,0.0004317084],"domain_scores_gemma":[0.9453988,0.04718119,0.00137848,0.001270644,0.004176782,0.000594151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00222741,0.003545788,0.7227699,0.001279203,0.004005543,0.001154739,0.01049455,0.02966696,0.001829378,0.04857203,0.005180627,0.1692738],"study_design_scores_gemma":[0.001017719,0.006680023,0.4483723,0.001391171,0.006723721,0.0007048644,0.02153026,0.4755656,0.00298343,0.02132976,0.0133569,0.0003441563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9239769,0.0005909006,0.05737485,0.000678539,0.0002257565,0.001745646,0.0007616697,0.0002578661,0.01438792],"genre_scores_gemma":[0.9787574,0.000401572,0.01759373,0.00004470543,0.0000253906,0.001693942,0.0004897863,0.00002477519,0.0009687004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01261553,"threshold_uncertainty_score":0.06297237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03570885974726383,"score_gpt":0.359875446833229,"score_spread":0.3241665870859651,"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."}}