{"id":"W4311784907","doi":"10.5267/j.ijdns.2022.12.006","title":"Celebrity endorsement in social media contexts: understanding the role of advertising credibility, brand credibility, and brand satisfaction","year":2022,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credibility; Advertising; Psychology; Attractiveness; Trustworthiness; Structural equation modeling; Source credibility; Social media; Marketing; Business; Social psychology; Computer science; 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":[0.002429121,0.0003899323,0.0003752788,0.001308783,0.0009431334,0.004224168,0.0004555896,0.0008710626,0.002529085],"category_scores_gemma":[0.007714861,0.0003383242,0.0006547538,0.0008448955,0.001575394,0.002469977,0.001590042,0.001132407,0.0001544623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112216,"about_ca_system_score_gemma":0.001290238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009181887,"about_ca_topic_score_gemma":0.01145398,"domain_scores_codex":[0.9989851,0.0004970938,0.00004650135,0.0001192804,0.0001878879,0.0001641885],"domain_scores_gemma":[0.9899719,0.00610583,0.002213093,0.0003496666,0.0005223679,0.0008371152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001737888,0.0009652437,0.9326108,0.0001687279,0.0001729433,0.0004700278,0.03484973,0.0004359838,0.001477132,0.003996782,0.0001541232,0.02452485],"study_design_scores_gemma":[0.000009642779,0.0002200922,0.9586304,0.0001140453,0.0001447295,0.0001465742,0.03391169,0.003631719,0.0004315828,0.001862327,0.0008731009,0.00002417914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962282,0.0001893291,0.0002137386,0.0002072934,0.000005177802,0.00001365043,0.00001214042,0.000001720223,0.003128679],"genre_scores_gemma":[0.999509,0.000115915,0.0001469512,0.00002715406,0.000005556044,0.000006903335,0.00001097655,0.000001070517,0.0001764885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009181887,"threshold_uncertainty_score":0.0182569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05419618780921528,"score_gpt":0.3332078609195099,"score_spread":0.2790116731102947,"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."}}