{"id":"W2803428286","doi":"10.1080/02650487.2018.1470917","title":"Electronic word-of-mouth (eWOM) on WeChat: examining the influence of sense of belonging, need for self-enhancement, and consumer engagement on Chinese travellers’ eWOM","year":2018,"lang":"en","type":"article","venue":"International Journal of Advertising","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Psychology; Advertising; Identity (music); Social psychology; Word of mouth; Business; Aesthetics; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.001765879,0.0003492331,0.0003491717,0.0009388577,0.000841385,0.001574143,0.000343291,0.0004434784,0.006928939],"category_scores_gemma":[0.009390092,0.000178178,0.000464683,0.001053003,0.0005938442,0.001835283,0.001380123,0.0006886208,0.0006870083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006715252,"about_ca_system_score_gemma":0.0008912575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008079139,"about_ca_topic_score_gemma":0.01325272,"domain_scores_codex":[0.9990445,0.0003232474,0.0001093921,0.0001507052,0.0002571393,0.0001149674],"domain_scores_gemma":[0.9925563,0.003348774,0.002304591,0.0003510621,0.00090876,0.0005306291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006507065,0.0006521158,0.7833858,0.001324508,0.0003284726,0.0007181546,0.0745856,0.0002042439,0.00492928,0.001033238,0.002777239,0.1294107],"study_design_scores_gemma":[0.00001709305,0.0003619861,0.9646914,0.0001666465,0.0001720767,0.0001539738,0.02798198,0.0008459247,0.0008581823,0.0002955558,0.004397303,0.00005799024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959584,0.0001694589,0.0001504919,0.0001428439,0.00001325992,0.0000484598,0.0001685636,0.000006828093,0.003341718],"genre_scores_gemma":[0.99648,0.0002860006,0.0005391915,0.0001381463,0.00001912703,0.0000905281,0.0001991416,0.000007687149,0.002240206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008079139,"threshold_uncertainty_score":0.02317965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556124187106476,"score_gpt":0.3180788520493651,"score_spread":0.3025176101783003,"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."}}