{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002982404,0.0001590708,0.00007607817,0.0005677785,0.00178367,0.002120855,0.0004069752,0.0003051542,0.002953601],"category_scores_gemma":[0.0005899761,0.0001237202,0.0001121184,0.001464652,0.0007453024,0.0008838514,0.001638618,0.0003033659,0.0001637346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698041,"about_ca_system_score_gemma":0.003970727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03877676,"about_ca_topic_score_gemma":0.06902628,"domain_scores_codex":[0.9996758,0.0001183944,0.00001359481,0.00003472008,0.00003866606,0.0001189399],"domain_scores_gemma":[0.9992082,0.0001069682,0.0002174711,0.00001634242,0.0001262723,0.0003247573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005051217,0.0008014409,0.6840385,0.001334274,0.0001467055,0.02506135,0.1017842,0.01097748,0.008226414,0.01441984,0.003520926,0.1491838],"study_design_scores_gemma":[0.00003240022,0.0006240129,0.4158427,0.0005778088,0.00009218176,0.003558933,0.5255927,0.02091337,0.001780226,0.004436145,0.02647837,0.00007126257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925852,0.0002269527,0.0007950467,0.0003891041,0.000003929342,0.00004505183,0.00003557963,0.000008869682,0.005910201],"genre_scores_gemma":[0.9983493,0.0001813838,0.0004240648,0.00001670216,0.000001189105,0.00001124263,0.00001655517,0.000001015109,0.0009986205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03877676,"threshold_uncertainty_score":0.07710212,"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."}}