{"id":"W2958974105","doi":"10.1108/ijchm-06-2018-0489","title":"A bibliometric analysis of social media in hospitality and tourism research","year":2019,"lang":"en","type":"article","venue":"International Journal of Contemporary Hospitality Management","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Hospitality; Social media; Tourism; Netnography; Theme (computing); Scope (computer science); Sociology; Hospitality management studies; Service (business); Advertising; Social science; Marketing; Public relations; Political science; Business; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.008956847,0.0001014915,0.0004509127,0.0308393,0.00006829834,0.0001731185,0.000692007,0.00009168576,0.00007579476],"category_scores_gemma":[0.001268823,0.0001009986,0.0002321148,0.02860305,0.0003379026,0.0006424149,0.0002080718,0.0002528256,0.000003199751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000225147,"about_ca_system_score_gemma":0.0001632806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006477851,"about_ca_topic_score_gemma":0.0002073257,"domain_scores_codex":[0.9957569,0.0006239651,0.0008108425,0.0002000335,0.002370546,0.0002376774],"domain_scores_gemma":[0.9973031,0.0009005147,0.0005232005,0.000115233,0.001041121,0.000116792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002585872,0.0005964961,0.8202514,0.00005517007,0.002328868,0.0001843837,0.02487432,0.00000751677,0.000005822583,0.0874031,0.001927612,0.06210672],"study_design_scores_gemma":[0.0006956538,0.00007571233,0.9474354,0.00007146004,0.0000638159,2.295355e-7,0.03839074,0.00001221429,0.000003687124,0.007405584,0.005737493,0.0001079466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8633143,0.0003952322,0.0000126595,0.002094175,0.0008378586,0.0001931702,0.00001730188,0.000007366911,0.1331279],"genre_scores_gemma":[0.9989226,0.0003485106,0.00006600883,0.00004901414,0.0002077532,0.000003856085,0.000007113915,0.000006791454,0.0003883265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1356083,"threshold_uncertainty_score":0.9920444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05311866542398085,"score_gpt":0.3853769095374254,"score_spread":0.3322582441134446,"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."}}