{"id":"W4409579938","doi":"10.61091/jcmcc127a-070","title":"Combinatorial Optimization Algorithms in Tourism Planning and Emergency Management and Their Application to Resource Allocation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resource allocation; Computer science; Tourism; Mathematical optimization; Resource planning; Operations research; Algorithm; Engineering; Environmental resource management; Mathematics; Geography; Environmental 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":[0.001913706,0.001627158,0.001535811,0.001334472,0.0007639662,0.002059091,0.001146025,0.001529931,0.002119557],"category_scores_gemma":[0.004403161,0.0008138224,0.001351816,0.003284566,0.001216795,0.001596795,0.001090338,0.002168568,0.000285316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149345,"about_ca_system_score_gemma":0.001829032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135831,"about_ca_topic_score_gemma":0.007762166,"domain_scores_codex":[0.9988182,0.0007427801,0.00005229747,0.0001365095,0.00016965,0.00008051901],"domain_scores_gemma":[0.9974583,0.002092348,0.0001752625,0.00005224868,0.0001658637,0.00005603077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001239038,0.00003931741,0.0002609499,0.00008505349,0.00004206772,0.00004552941,0.00002554049,0.964968,0.0001126611,0.01911743,0.0007960082,0.01449508],"study_design_scores_gemma":[0.000007602861,0.00001182853,0.00006496976,0.0000102035,0.000008054982,0.0000111234,0.00001371507,0.9878235,0.00005144081,0.01131676,0.0006757944,0.000005010016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009237037,0.003097523,0.9801922,0.000771582,0.000154872,0.00007188404,0.00006694548,0.0001120967,0.006295833],"genre_scores_gemma":[0.4133237,0.01041811,0.5672629,0.0005002824,0.0005384724,0.0006836745,0.000313919,0.0001715647,0.006787301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01135831,"threshold_uncertainty_score":0.02258444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00958854311294038,"score_gpt":0.2522237586805554,"score_spread":0.242635215567615,"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."}}