{"id":"W4409605011","doi":"10.61091/jcmcc27b-324","title":"A Study on Cross-Cultural Analysis of Social Media Data and Leisure Travel Preference Prediction Supported by Cluster Analysis Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Diverse Topics in Contemporary Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preference; Cluster (spacecraft); Social media; Computer science; Psychology; Advertising; Statistics; Mathematics; World Wide Web; Business","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":[0.002632474,0.0007213221,0.0006735084,0.003115872,0.001022117,0.00176951,0.0008935308,0.0007273808,0.001055135],"category_scores_gemma":[0.0101501,0.0003057471,0.001312464,0.004191107,0.0004878457,0.002733443,0.0008425552,0.0008448936,0.0003080947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044773,"about_ca_system_score_gemma":0.001049026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01920349,"about_ca_topic_score_gemma":0.01068226,"domain_scores_codex":[0.9981202,0.0005327784,0.0001319183,0.0005003899,0.0005279949,0.0001866221],"domain_scores_gemma":[0.9952832,0.00241025,0.0002848276,0.0003816692,0.001476791,0.0001632182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007999327,0.0007740347,0.2505631,0.000640404,0.001260491,0.0009468494,0.002434666,0.150456,0.006508206,0.0259425,0.009416701,0.5502571],"study_design_scores_gemma":[0.000008697774,0.00008449116,0.02960775,0.00002853185,0.000104121,0.0001693675,0.0009477697,0.962127,0.001381577,0.003475832,0.00202567,0.0000392322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.485928,0.001763789,0.5025202,0.001214915,0.0002282984,0.0002667607,0.0007584264,0.0005914858,0.006728122],"genre_scores_gemma":[0.915507,0.0007344044,0.08055969,0.00009827519,0.0001134275,0.0001480053,0.000995707,0.00006467506,0.00177891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01920349,"threshold_uncertainty_score":0.03818339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08096867488793438,"score_gpt":0.3862646216275371,"score_spread":0.3052959467396027,"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."}}