{"id":"W3197037868","doi":"10.5267/j.uscm.2021.7.002","title":"Community based tourism logistics supply chain management in the top north of Thailand: A key linkage to the greater Mekong subregion","year":2021,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Business; Linkage (software); Revenue; Participatory rural appraisal; Supply chain; Marketing; Destinations; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00115628,0.0004238107,0.0004053473,0.0002800997,0.0002118368,0.00009279475,0.001100509,0.0001058006,0.0001233049],"category_scores_gemma":[0.00001850428,0.000299223,0.0001619221,0.0009070323,0.0001264723,0.00005198352,0.0001940035,0.0005825285,0.00002471803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001733418,"about_ca_system_score_gemma":0.0000166957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003915276,"about_ca_topic_score_gemma":0.002808578,"domain_scores_codex":[0.9973628,0.0004068953,0.0006214689,0.0003537374,0.0006088808,0.0006462524],"domain_scores_gemma":[0.9980195,0.0002198185,0.00007198229,0.001518621,0.00007017679,0.00009988483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002173219,0.00102158,0.09223488,0.00307995,0.0009831693,0.004261881,0.01689668,0.7642671,0.00003052227,0.03556856,0.06868681,0.01275154],"study_design_scores_gemma":[0.005233033,0.0003562942,0.5181584,0.0007028318,0.0008273979,0.0000143574,0.01429043,0.1099972,0.0003776482,0.002538878,0.3455835,0.001920111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2678892,0.001411485,0.6344519,0.02007913,0.0019989,0.008471866,0.001038689,0.0007954076,0.06386341],"genre_scores_gemma":[0.992174,0.0002384098,0.003239012,0.002156224,0.0001060444,0.0002276945,0.0005737478,0.00005629881,0.001228628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7242848,"threshold_uncertainty_score":0.999946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184164645137526,"score_gpt":0.2183253209161051,"score_spread":0.1864836744647299,"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."}}