{"id":"W2463697620","doi":"10.5539/ass.v12n7p222","title":"Economic Impact of Tourism Accommodation: Thailand","year":2016,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Sharing Economy and Platforms","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accommodation; Tourism; Business; Goods and services; Economic impact analysis; Marketing; Economics; Economy; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002998462,0.0000577894,0.00008671072,0.00009355049,0.0002011778,0.000120066,0.0003020745,0.00002776837,0.0007521887],"category_scores_gemma":[0.00002662766,0.00003683097,0.00005912483,0.0001730333,0.000184815,0.002103972,0.00008708718,0.00002474502,0.0003212577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009373703,"about_ca_system_score_gemma":0.00008219979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003680535,"about_ca_topic_score_gemma":0.00003947115,"domain_scores_codex":[0.9994972,0.000001014582,0.0001116092,0.0001370434,0.00007922152,0.0001739312],"domain_scores_gemma":[0.9997264,0.00001324562,0.0001286016,0.00009361625,0.00002879655,0.000009414251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002382076,0.00002060702,0.2833132,0.00001258343,0.00001833933,0.000001647292,0.0001883905,0.000002606599,0.001328746,0.1282016,0.008001164,0.5788873],"study_design_scores_gemma":[0.0002452334,0.000006514485,0.9723609,0.00001112319,0.000005046739,5.484935e-7,0.00006852009,0.00004501842,0.0001426833,0.02048827,0.006511314,0.0001148395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.549664,0.000002037228,0.00006698638,0.0005683203,0.0001790311,0.00004535077,0.000003350476,0.00002230873,0.4494487],"genre_scores_gemma":[0.9989616,7.837248e-7,0.00001811047,0.00007922432,0.0007905478,0.000001838897,0.000001240935,0.000003387859,0.0001432758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6890477,"threshold_uncertainty_score":0.8235938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694429350123808,"score_gpt":0.2568375519179403,"score_spread":0.2398932584167023,"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."}}