{"id":"W4386074498","doi":"10.11159/cist23.119","title":"Exploring university students' sports tourism behavior: Based on Structural Equation Model","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Tourism; Computer science; Sports tourism; Mathematics education; Psychology; Tourism geography; Political science; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000251368,0.00008098149,0.0001406699,0.0002799249,0.000170212,0.0000464626,0.0001282124,0.00001527742,1.413789e-7],"category_scores_gemma":[0.0000204108,0.00005898783,0.00002174182,0.0007270285,0.00006268427,0.0001077945,0.0000756317,0.0001124124,1.725742e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005157231,"about_ca_system_score_gemma":0.00002892634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001251939,"about_ca_topic_score_gemma":9.135881e-8,"domain_scores_codex":[0.999103,0.000002131345,0.0001059755,0.0002065409,0.0004182153,0.0001641862],"domain_scores_gemma":[0.9996583,0.00003847137,0.00005001555,0.00006208863,0.000108718,0.00008242441],"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":[0.0002631585,0.0002124843,0.803482,0.0009880754,0.00006420372,0.00001876839,0.001657972,0.09321842,0.0008325385,0.07181083,0.000931491,0.02652002],"study_design_scores_gemma":[0.0001692672,0.00009417756,0.1214139,0.0001989205,0.00001536429,0.000003472538,0.00007409482,0.8777911,0.0001259902,0.000004475713,0.00005021865,0.00005903965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988391,0.00001858431,0.00007908205,0.0001768021,0.0005491895,0.0001854074,6.759174e-7,0.00004990401,0.0001012119],"genre_scores_gemma":[0.9994159,0.00002536638,0.0001715388,0.00002526682,0.00007255886,0.000008391529,1.936116e-7,0.00000397809,0.0002768238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7845727,"threshold_uncertainty_score":0.2405454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0776872605908253,"score_gpt":0.2794288144059079,"score_spread":0.2017415538150826,"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."}}