{"id":"W4385992437","doi":"10.5267/j.uscm.2023.6.008","title":"Towards recreational travel modelling in non-western countries: An empirical study using a structural equation modeling approach","year":2023,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Recreation; Tourism; Confirmatory factor analysis; Loyalty; Marketing; Bridge (graph theory); Perspective (graphical); Psychology; Empirical research; Variety (cybernetics); Advertising; Social psychology; Business; Computer science; Geography; Political 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":[0.002421219,0.0002763552,0.0003206622,0.0009239312,0.0008928448,0.001839518,0.0003518863,0.0004930344,0.002809752],"category_scores_gemma":[0.005543631,0.0003791615,0.0006583654,0.002312406,0.0005978355,0.001043537,0.0007915447,0.00104152,0.0004881013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007637005,"about_ca_system_score_gemma":0.001383969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01875399,"about_ca_topic_score_gemma":0.02609382,"domain_scores_codex":[0.9992418,0.0004002119,0.00007213533,0.00007421458,0.0001032073,0.0001084596],"domain_scores_gemma":[0.9956704,0.002572621,0.0008184733,0.0002614094,0.0004277718,0.0002492222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005468962,0.0007985363,0.9661624,0.00008260691,0.00004240556,0.0005048233,0.01544792,0.001172764,0.0001793539,0.0008156018,0.0004882729,0.01425067],"study_design_scores_gemma":[0.00001918971,0.0004310141,0.8812908,0.0001929816,0.00007030323,0.0004775871,0.1034793,0.01135394,0.0001757784,0.0002900522,0.002189239,0.00002976582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989665,0.00003200821,0.0001706887,0.00004802321,0.000001597507,0.00002180552,0.00004755266,0.000001341752,0.0007106368],"genre_scores_gemma":[0.9983951,0.0001880567,0.000726105,0.00003998071,0.000002162889,0.00003521092,0.0001730034,0.000002730312,0.0004376177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01875399,"threshold_uncertainty_score":0.03728968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1515875651133347,"score_gpt":0.39944963450131,"score_spread":0.2478620693879753,"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."}}