{"id":"W2741009737","doi":"","title":"Analysis of Factors Influencing E-WOM Credibility","year":2017,"lang":"en","type":"article","venue":"International Journal of Marketing and Business Communication","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"George Brown College","funders":"","keywords":"Credibility; Cronbach's alpha; Advertising; Word of mouth; Psychology; The Internet; Variables; Source credibility; Social media; Affect (linguistics); Consistency (knowledge bases); Social psychology; Marketing; Business; Computer science; Political science; Statistics; Service (business); Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00643724,0.00006065449,0.0002180396,0.0002287413,0.0004614151,0.0002919681,0.0009364065,0.00005669786,0.00002664196],"category_scores_gemma":[0.02288396,0.00005507992,0.0001030794,0.0001739988,0.0004034296,0.000566939,0.0001590987,0.0001225208,1.607902e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006642548,"about_ca_system_score_gemma":0.0001217174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001756553,"about_ca_topic_score_gemma":0.0005475801,"domain_scores_codex":[0.9983888,0.000543294,0.0004062083,0.00007180714,0.0005042687,0.0000856365],"domain_scores_gemma":[0.9951326,0.001561884,0.001234818,0.0002601128,0.00175545,0.00005518057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001995833,0.00006277949,0.9428203,0.00001179024,0.0004560189,0.000001388805,0.005837556,0.00002761852,0.00006207695,0.0007618291,0.00003303284,0.04972608],"study_design_scores_gemma":[0.0001480836,0.000004701805,0.9930903,0.0001653753,0.0001183929,5.47261e-7,0.003485298,0.00009656082,0.00001214811,0.0004542257,0.002370362,0.00005401243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808096,0.000217781,0.00004353709,0.001787145,0.0003354642,0.00002809998,0.000006343241,0.000007091435,0.01676495],"genre_scores_gemma":[0.9982414,0.001153675,0.0004035847,0.00001632197,0.0001043907,4.491324e-7,0.000004601543,0.000003532528,0.00007201997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05027004,"threshold_uncertainty_score":0.9853467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03528598359387539,"score_gpt":0.3480406128775645,"score_spread":0.3127546292836891,"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."}}