{"id":"W4388311495","doi":"10.5267/j.uscm.2023.9.017","title":"Water tourism demand in the Mekong River basin","year":2023,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Cruise Tourism Development and Management","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Khon Kaen University; China Railway","keywords":"Tourism; Business; Service (business); Product (mathematics); Water resources; Mekong river; Confirmatory factor analysis; Water resource management; Marketing; Structural basin; Environmental science; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0044626,0.0002124457,0.0001951665,0.0004918223,0.0006320273,0.0002003112,0.0008160541,0.00007342608,0.0007763993],"category_scores_gemma":[0.00002867714,0.0001441797,0.00009422182,0.0009811569,0.0001953577,0.0001760789,0.0003389177,0.0001514573,0.0008963546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002027492,"about_ca_system_score_gemma":0.00002313483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002365087,"about_ca_topic_score_gemma":0.001643231,"domain_scores_codex":[0.9969416,0.0004468638,0.0003231127,0.000430782,0.0009287228,0.0009288993],"domain_scores_gemma":[0.9993281,0.0001395097,0.0000464958,0.0003775047,0.00002772563,0.0000806016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000399887,0.0001691008,0.008154856,0.000107192,0.0001472642,0.001644989,0.1703126,0.001018829,0.00001069514,0.1163826,0.6604065,0.04160535],"study_design_scores_gemma":[0.0005955844,0.00001429259,0.02348897,0.00003622922,0.00002891058,2.748782e-7,0.03432297,0.0002306523,0.00001772997,0.01390865,0.927074,0.000281716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3131595,0.000146557,0.001135411,0.1448571,0.00178553,0.005233974,0.000007887683,0.0007807695,0.5328932],"genre_scores_gemma":[0.9117191,0.0008327246,0.0004633811,0.002712784,0.0003393799,0.0004534238,0.0000728792,0.0000264167,0.08337992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5985596,"threshold_uncertainty_score":0.9998816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01990081322876461,"score_gpt":0.2712907853070015,"score_spread":0.2513899720782369,"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."}}