{"id":"W4386431609","doi":"10.1007/978-3-031-39626-7_9","title":"Digital Marketing","year":2023,"lang":"en","type":"book-chapter","venue":"EAI/Springer Innovations in Communication and Computing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Canada West","funders":"","keywords":"Digital marketing; Personalization; Competitor analysis; Business; Marketing strategy; Marketing; Social media; Revenue; Marketing research; Analytics; Marketing effectiveness; Return on marketing investment; Computer science; Data science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003120072,0.0002010247,0.0002728328,0.0004180461,0.0008947491,0.0005480485,0.0005108643,0.0002803973,0.0000402795],"category_scores_gemma":[0.002286641,0.0002560382,0.00005935166,0.0004266138,0.0004162246,0.0002382594,0.0005337651,0.000701997,0.00006920405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001542339,"about_ca_system_score_gemma":0.0001636556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007947755,"about_ca_topic_score_gemma":0.0003600155,"domain_scores_codex":[0.9982849,0.0001422102,0.0006041999,0.0003026199,0.0003706806,0.0002953383],"domain_scores_gemma":[0.996941,0.001960201,0.0003429,0.0004351647,0.0002543584,0.00006637261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004927938,0.00001562019,0.002172238,0.00002557618,0.00002083589,0.000002234704,0.003435975,0.000004902794,4.379787e-7,0.6353331,0.0008617563,0.3581224],"study_design_scores_gemma":[0.0003267372,0.00001237335,0.01049205,0.0020775,0.00001614548,0.000001450328,0.004693765,0.0003309502,3.66137e-7,0.05966854,0.9216098,0.0007703205],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003076677,0.0002668015,0.00005258323,0.001897063,0.0003221759,0.0002379181,0.000009080603,0.0003293625,0.9938083],"genre_scores_gemma":[0.5098341,0.001001344,0.0009851863,0.0002257778,0.0003701981,0.0000125599,0.0001084376,0.00008341386,0.487379],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9207481,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04518969753494119,"score_gpt":0.3072041396748958,"score_spread":0.2620144421399546,"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."}}