{"id":"W2084434090","doi":"10.5539/ibr.v6n3p58","title":"Establishing the Adoption of Electronic Word-of-Mouth through Consumers’ Perceived Credibility","year":2013,"lang":"en","type":"article","venue":"International Business Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credibility; Source credibility; Product (mathematics); Affect (linguistics); Advertising; Word of mouth; Empirical research; Quality (philosophy); Business; Marketing; Psychology; Political science","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":[0.005195726,0.0002599437,0.0002608588,0.001515236,0.0004348663,0.002320645,0.0003392082,0.0007082779,0.003498648],"category_scores_gemma":[0.03815059,0.0002580846,0.0003650044,0.0006588394,0.0006663021,0.002718013,0.0009908528,0.0009490615,0.0003566901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004700327,"about_ca_system_score_gemma":0.0005500322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619307,"about_ca_topic_score_gemma":0.001174525,"domain_scores_codex":[0.9969459,0.001409349,0.0002674869,0.0002781991,0.0009403255,0.0001586919],"domain_scores_gemma":[0.9594437,0.02572074,0.007376408,0.001165374,0.005359755,0.0009341039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007487959,0.001164041,0.8802848,0.0003841542,0.0002489431,0.0004921912,0.03268775,0.0005075367,0.007719771,0.005131331,0.0005699519,0.07006077],"study_design_scores_gemma":[0.00007012562,0.0007600375,0.9615691,0.0002118934,0.0003203589,0.0003923813,0.01672604,0.009598814,0.004578508,0.003053156,0.00262833,0.00009123829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879364,0.0001076679,0.001529617,0.0001442633,0.000009211735,0.00006537948,0.00004751584,0.000008678865,0.01015132],"genre_scores_gemma":[0.9987785,0.00005257523,0.0008579291,0.00002169421,0.000006261999,0.00002360866,0.00002399726,0.000002149803,0.0002332528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005195726,"threshold_uncertainty_score":0.02747792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08395520924961565,"score_gpt":0.4007295507015501,"score_spread":0.3167743414519344,"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."}}