{"id":"W4200325618","doi":"10.18280/isi.260607","title":"Consumer Conformity, Social Ties and EWOM in Digital Marketing","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conformity; Structural equation modeling; Advertising; Marketing; Social influence; Affect (linguistics); Social commerce; Digital marketing; Social media; Business; Psychology; Computer science; Social psychology; World Wide Web","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":[0.001839894,0.0002108032,0.0002000169,0.00134184,0.0006654638,0.001547443,0.0001946328,0.0004595203,0.002993071],"category_scores_gemma":[0.0073515,0.0001290011,0.000363628,0.001167884,0.0009525383,0.001381042,0.001351768,0.0007377579,0.0001317287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004961603,"about_ca_system_score_gemma":0.0003801019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00119114,"about_ca_topic_score_gemma":0.001497799,"domain_scores_codex":[0.9985071,0.0007092034,0.0001063272,0.0001467194,0.0003984018,0.000132235],"domain_scores_gemma":[0.9898791,0.00557683,0.002941987,0.0003804914,0.0004341053,0.0007873863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001473486,0.0006740597,0.9327738,0.0001094528,0.0001250983,0.0002591371,0.009641565,0.0005312685,0.001130301,0.005448921,0.0001893902,0.04896978],"study_design_scores_gemma":[0.000007350206,0.000207633,0.9869195,0.00004276481,0.00005096024,0.0001947186,0.006606583,0.001711328,0.0003974792,0.002503735,0.001339981,0.00001797536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925752,0.0001176928,0.0006961717,0.0001377254,0.000006146752,0.00002748648,0.00002035205,0.000005160775,0.00641404],"genre_scores_gemma":[0.9992125,0.00006452064,0.0002982954,0.00001919573,0.000008380036,0.0000127695,0.00001486025,0.000001593747,0.0003679883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002993071,"threshold_uncertainty_score":0.01001287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491649135513975,"score_gpt":0.2554122763470577,"score_spread":0.240495784991918,"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."}}