{"id":"W4409791136","doi":"10.61091/jcmcc127a-344","title":"Calculation and Comprehensive Evaluation of China’s Tourism High-Quality Development Level and Regional Differences and Dynamic Evolution Based on Entropy Weight Method and TOPSIS Modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TOPSIS; Tourism; China; Entropy (arrow of time); Computer science; Econometrics; Mathematics; Geography; Operations research; Thermodynamics; Physics","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":[0.001729216,0.000200172,0.0005078119,0.0004511413,0.0003570713,0.0001384498,0.00008995103,0.0001493157,0.000001241949],"category_scores_gemma":[0.0003044877,0.0001772016,0.00003381584,0.0002709959,0.0001149159,0.0002482343,0.0001616515,0.0002506118,6.433949e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006382288,"about_ca_system_score_gemma":0.00007999315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000938222,"about_ca_topic_score_gemma":0.000003494592,"domain_scores_codex":[0.998332,0.00007971213,0.0007805845,0.0002093191,0.000457675,0.0001406947],"domain_scores_gemma":[0.9979539,0.0003673495,0.0007772409,0.0001048692,0.0007752462,0.00002142229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000899713,0.0001984326,0.005014332,0.0004277621,0.0001065417,9.06135e-7,0.0002015225,0.0002602154,0.0005147849,0.9821789,0.00001698126,0.01098968],"study_design_scores_gemma":[0.003071552,0.00005891122,0.05337485,0.0004420046,0.000186441,0.000004215592,0.0002251437,0.4118783,0.00004285539,0.5305583,0.00001961337,0.0001377771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9431696,0.0003340423,0.05417789,0.001004486,0.00100334,0.0002390314,0.00000102152,0.00001486461,0.00005572664],"genre_scores_gemma":[0.9920382,0.00002801664,0.007703438,0.00004931433,0.0001640203,0.000002933203,0.000003560599,0.000009155498,0.000001370377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4516205,"threshold_uncertainty_score":0.7226071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04424346370267852,"score_gpt":0.3092525798498382,"score_spread":0.2650091161471597,"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."}}