{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002715023,0.0003614364,0.0002297292,0.0008954074,0.0004254403,0.002108462,0.0002416131,0.000223443,0.007304081],"category_scores_gemma":[0.0008946229,0.0001847275,0.000609555,0.002268815,0.0003358344,0.0007117288,0.00121496,0.0006029477,0.0004368567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003279264,"about_ca_system_score_gemma":0.002287312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09498691,"about_ca_topic_score_gemma":0.06929708,"domain_scores_codex":[0.9996696,0.00009138606,0.00001998835,0.00002417823,0.00008904124,0.0001058204],"domain_scores_gemma":[0.9995926,0.0001073282,0.00008096204,0.00001477019,0.0001277951,0.00007664096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006895046,0.0004154325,0.5784577,0.001000902,0.000446884,0.005541638,0.0009993265,0.3433983,0.001873576,0.01276883,0.005411817,0.04899608],"study_design_scores_gemma":[0.00005838048,0.0006000586,0.7127563,0.0003606706,0.0003779464,0.001114154,0.01053921,0.2467327,0.004241493,0.004471699,0.01863142,0.0001159479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643271,0.0005452374,0.001325,0.0004046412,0.00002132278,0.0000512986,0.003111462,0.00003855205,0.03017551],"genre_scores_gemma":[0.9930406,0.0005998422,0.0002066366,0.00001563875,0.000004128755,0.00001526139,0.0009729861,0.000006625274,0.005138312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09498691,"threshold_uncertainty_score":0.188868,"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."}}