{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01811438,0.0006386674,0.001869106,0.1984623,0.002236081,0.007508832,0.001259147,0.0009370208,0.00421482],"category_scores_gemma":[0.1083332,0.0004135039,0.00194896,0.2383815,0.00149997,0.004887024,0.003467094,0.0006347195,0.0009288441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003962297,"about_ca_system_score_gemma":0.009730497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007346536,"about_ca_topic_score_gemma":0.01230134,"domain_scores_codex":[0.9752435,0.005861547,0.006471861,0.001525773,0.01018958,0.0007077573],"domain_scores_gemma":[0.8437568,0.1001713,0.025272,0.003516315,0.02542487,0.001858821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002940259,0.0002457625,0.5388636,0.06216458,0.002453499,0.001376343,0.01342541,0.001665405,0.001799293,0.009527286,0.02521338,0.3429715],"study_design_scores_gemma":[0.00006991564,0.0002745729,0.8017527,0.01795685,0.00305552,0.002352105,0.0308115,0.004184679,0.001981591,0.006566178,0.1307822,0.0002121251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7065147,0.1310212,0.01005248,0.008155718,0.0009900139,0.004553823,0.07181695,0.0005999921,0.06629504],"genre_scores_gemma":[0.915129,0.04272322,0.01546316,0.0005155901,0.0007994668,0.003080625,0.01940816,0.0001116367,0.002769226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8015377,"threshold_uncertainty_score":0.09579909,"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."}}