{"id":"W2967039096","doi":"10.1002/mar.21419","title":"Social media influencers: A route to brand engagement for their followers","year":2020,"lang":"en","type":"article","venue":"Psychology and Marketing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":218,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hog Administrative Marketing Services (Canada)","funders":"","keywords":"Influencer marketing; Customer engagement; Social media; Brand engagement; Brand community; Advertising; Context (archaeology); Affection; Business; Empirical research; Social media marketing; Product (mathematics); Brand awareness; Psychology; Marketing; Digital marketing; Relationship marketing; Marketing management; Computer science; Social psychology; World Wide Web","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":[0.0008632849,0.0002023549,0.0001518745,0.0009008341,0.001310682,0.002697927,0.0002283272,0.0007112476,0.007160537],"category_scores_gemma":[0.005736645,0.0001915122,0.0002417995,0.0004435234,0.001110826,0.001658559,0.001310608,0.000806223,0.0009348241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003559417,"about_ca_system_score_gemma":0.0002160633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001592539,"about_ca_topic_score_gemma":0.002471314,"domain_scores_codex":[0.9993356,0.0002946378,0.00002091353,0.0001030592,0.0001529958,0.00009275506],"domain_scores_gemma":[0.9952103,0.00256178,0.0008967892,0.0003667084,0.0004709119,0.0004935065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007530783,0.0005140119,0.5351855,0.0003070313,0.0001625918,0.001959832,0.2240417,0.0003038898,0.04765905,0.02193431,0.00552588,0.1616532],"study_design_scores_gemma":[0.00004616986,0.0005370438,0.7722912,0.0002117389,0.0001244937,0.0009150024,0.158373,0.003073034,0.009445394,0.01144528,0.04346354,0.00007418548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550924,0.0001856578,0.00209565,0.0008894537,0.00004327854,0.00004444951,0.00009461911,0.00007200708,0.04148251],"genre_scores_gemma":[0.9965719,0.00006774487,0.0005251912,0.0001046014,0.00002748644,0.00001580975,0.00002737096,0.00001571536,0.002644295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007160537,"threshold_uncertainty_score":0.02395439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07534372001402184,"score_gpt":0.3713984809369598,"score_spread":0.2960547609229379,"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."}}