{"id":"W4387245009","doi":"10.32388/fh0vig","title":"Review of: \"Digital Persona: Reflection on the Power of Generative AI for Customer Profiling in Social Media Marketing\"","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Persona Design and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Persona; Profiling (computer programming); Social media; Social media marketing; Business; Digital media; Customer engagement; Advertising; Marketing; Computer science; World Wide Web; Human–computer interaction","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":[0.02032263,0.0005580468,0.001293602,0.003728072,0.005508443,0.008902018,0.002903822,0.009280662,0.02491786],"category_scores_gemma":[0.1347043,0.000396489,0.0006342905,0.003346545,0.004808983,0.005682948,0.003158063,0.008334975,0.01532236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00503706,"about_ca_system_score_gemma":0.01709223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198482,"about_ca_topic_score_gemma":0.03387106,"domain_scores_codex":[0.9857266,0.003165609,0.0008147956,0.0009904134,0.008734402,0.000568267],"domain_scores_gemma":[0.8126562,0.07169577,0.003563515,0.005122946,0.100754,0.00620758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008193515,0.00000707536,0.00005448684,0.0001325522,0.000004024036,0.00002269593,0.0001197353,0.00002116014,0.00004573137,0.002577609,0.9804921,0.01651466],"study_design_scores_gemma":[0.000005957124,0.000007793785,0.0004731202,0.0003715281,0.00001030832,0.00003822544,0.0001976936,0.00009926183,0.000087171,0.0017599,0.996937,0.00001205446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0006340045,0.01919911,0.002346027,0.8127648,0.1311099,0.0001187222,0.0002665519,0.0002087542,0.0333521],"genre_scores_gemma":[0.02587024,0.06325608,0.004664515,0.4905915,0.1998415,0.0006336672,0.0007659759,0.0008998543,0.2134767],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02491786,"threshold_uncertainty_score":0.1074777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117701274121423,"score_gpt":0.3725444887685905,"score_spread":0.2607743613564482,"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."}}