{"id":"W2757653820","doi":"10.5539/ijms.v9n5p28","title":"Italy’s Image as a Tourism Destination in the Chinese Leisure Traveler Market","year":2017,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Market segmentation; Marketing; Promotion (chess); Business; Dimension (graph theory); Ambiguity; Destination image; Destinations; Perception; Order (exchange); Advertising; Experiential learning; Computer science; Geography; Sociology; Political science; Psychology","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":[0.0006024871,0.0002169574,0.0001324242,0.001370793,0.0006233922,0.001224363,0.0002212718,0.0002465709,0.003502988],"category_scores_gemma":[0.000838221,0.00007581419,0.0002426063,0.001146816,0.001113522,0.0007183563,0.0007685939,0.0002467503,0.0002032691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320471,"about_ca_system_score_gemma":0.0006268122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01657682,"about_ca_topic_score_gemma":0.01871388,"domain_scores_codex":[0.9997255,0.00005857241,0.0000171024,0.00002637574,0.0001132363,0.00005912138],"domain_scores_gemma":[0.9995754,0.00005820809,0.0001688261,0.00002218546,0.00006815757,0.0001071037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002876332,0.0003339005,0.9241932,0.00013586,0.00005545917,0.0009545613,0.03787786,0.0005780698,0.007348787,0.006558937,0.001070881,0.02060487],"study_design_scores_gemma":[0.000005254221,0.0000860129,0.9811038,0.00001370206,0.00001576338,0.0001130201,0.01589408,0.001000778,0.0004599123,0.0001621032,0.001131404,0.00001414317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959591,0.00001412627,0.00004649496,0.0000312478,0.000001943391,0.000008723848,0.00001959116,0.000001085552,0.003917612],"genre_scores_gemma":[0.9993004,0.00001730314,0.00004371844,0.000008885514,0.000002246567,0.00000639974,0.00002695774,6.994539e-7,0.0005934751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01657682,"threshold_uncertainty_score":0.03296065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03512114146642348,"score_gpt":0.4290305236084991,"score_spread":0.3939093821420757,"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."}}