{"id":"W2103996802","doi":"10.5539/ass.v9n17p94","title":"Regret and Satisfaction Influencing Attitude and Intention in Using Homestay Terminology: The Structural Approach","year":2013,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Regret; Terminology; Structural equation modeling; Feeling; Sample (material); Psychology; Business; Marketing; Private sector; Social psychology; Economics; Mathematics; Economic growth","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":[0.003013874,0.0005555305,0.0006361294,0.001255513,0.001007402,0.001932703,0.0007057209,0.0009113703,0.007996025],"category_scores_gemma":[0.008022627,0.0004055421,0.002685283,0.001048138,0.001092555,0.001053699,0.001880149,0.001972419,0.0003475538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001892577,"about_ca_system_score_gemma":0.002352534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01267894,"about_ca_topic_score_gemma":0.01215759,"domain_scores_codex":[0.9971739,0.001494467,0.000189535,0.0003455551,0.0003559607,0.0004406216],"domain_scores_gemma":[0.9912176,0.005223894,0.00193188,0.0004860721,0.0006755539,0.000465071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001818757,0.0009305317,0.9761181,0.00008848143,0.0003841163,0.0001614179,0.004812543,0.001346449,0.0002721306,0.0029319,0.0003486823,0.01242367],"study_design_scores_gemma":[0.00003819886,0.0008133946,0.9448461,0.000185644,0.000544117,0.0001339693,0.01337318,0.03499606,0.0006358789,0.003324058,0.001062317,0.00004709863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957035,0.00007211898,0.001577888,0.0004561534,0.00002107436,0.00007153161,0.0001545246,0.00001366445,0.001929558],"genre_scores_gemma":[0.9981738,0.0000678244,0.0007844593,0.00004644724,0.0000107346,0.0001037737,0.0001494159,0.000003171466,0.000660364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01267894,"threshold_uncertainty_score":0.02674937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231987095727511,"score_gpt":0.3019184653757946,"score_spread":0.2795985944185195,"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."}}