{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001811732,0.0002153182,0.0005616278,0.0001363205,0.00009608227,0.00003781658,0.0006864934,0.000128871,0.00005877926],"category_scores_gemma":[0.0009982541,0.0001445841,0.000288538,0.0009976907,0.00005494064,0.0001112006,0.0001103064,0.0003048885,0.0000323947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007956754,"about_ca_system_score_gemma":0.0003509322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005214883,"about_ca_topic_score_gemma":0.0000145927,"domain_scores_codex":[0.9982264,0.0001796027,0.0005319996,0.0004372513,0.0004189236,0.0002057962],"domain_scores_gemma":[0.9977641,0.00102513,0.0003797669,0.0003591105,0.0004424716,0.00002941062],"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":[0.00000462695,0.00003721519,5.627336e-7,0.00521672,0.00002169467,2.551701e-7,0.000212113,1.680512e-7,0.0000530908,0.01131447,0.9765298,0.00660922],"study_design_scores_gemma":[0.0002252634,0.00007102999,0.00002281016,0.02880424,0.00007823762,0.000003280814,0.0001320973,0.0009314172,0.0003259365,0.001083801,0.9678813,0.0004405628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00002918863,0.1419241,0.06645744,0.6871632,0.002898896,0.01109068,0.001716209,0.0003758076,0.08834445],"genre_scores_gemma":[0.003034511,0.3828038,0.06563315,0.1431622,0.004455442,0.01267384,0.004030702,0.0004834753,0.3837229],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.544001,"threshold_uncertainty_score":0.5895966,"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."}}