{"id":"W2051591797","doi":"10.5539/ass.v9n1p286","title":"Positioning Malaysia as a Tourist Destination Based on Destination Loyalty","year":2012,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loyalty; Tourism; Destination image; Structural equation modeling; Business; Construct (python library); Advertising; Marketing; Destinations; Geography; Computer science; Mathematics; Statistics","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":[0.000406372,0.0001159415,0.0001015104,0.0007038396,0.0004923926,0.001567307,0.0001690361,0.0002750236,0.002747308],"category_scores_gemma":[0.00123307,0.00008183976,0.00014874,0.0005727198,0.0004980327,0.0004392404,0.0005863595,0.0004134745,0.0002416912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005422157,"about_ca_system_score_gemma":0.0004205219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007695866,"about_ca_topic_score_gemma":0.017263,"domain_scores_codex":[0.9996831,0.0001195401,0.00001891922,0.00002620463,0.00008626307,0.00006587712],"domain_scores_gemma":[0.998926,0.0001929397,0.0004120044,0.00002787122,0.0002103424,0.0002308737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008569771,0.000106587,0.9818906,0.00003606232,0.00004035154,0.0001917821,0.004844303,0.0001772171,0.00103474,0.0009096087,0.0003171002,0.01036609],"study_design_scores_gemma":[0.000003383426,0.0001149804,0.9752851,0.00002749076,0.00002326425,0.0002046433,0.02213377,0.0008121806,0.0002380572,0.0001766934,0.0009672592,0.00001314269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961947,0.0000314577,0.0001013982,0.00007091996,0.000003045623,0.000003659896,0.00001716325,0.000001308156,0.003576295],"genre_scores_gemma":[0.9995236,0.00002870926,0.00005776176,0.000009863916,0.000001194654,0.000001283317,0.00001357207,4.869685e-7,0.0003634729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007695866,"threshold_uncertainty_score":0.01530212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02317540805055143,"score_gpt":0.3550974473253075,"score_spread":0.3319220392747561,"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."}}