{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004821088,0.001028718,0.0005182963,0.002487702,0.001669179,0.007771636,0.0006467889,0.001873826,0.3798376],"category_scores_gemma":[0.001258026,0.000369241,0.0003176366,0.003105127,0.0009031998,0.004988838,0.002300181,0.001721354,0.259969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656983,"about_ca_system_score_gemma":0.001576943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002193078,"about_ca_topic_score_gemma":0.005329965,"domain_scores_codex":[0.9995585,0.0000503937,0.00001485637,0.00007508683,0.0002586313,0.00004246543],"domain_scores_gemma":[0.9996657,0.00006144328,0.00001830254,0.00007364901,0.0001042911,0.00007652271],"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":[0.00001390544,0.00005795679,0.0001436844,0.000197023,0.000004063288,0.00004444943,0.000265115,0.00009322276,0.0005782906,0.07179463,0.5441662,0.3826415],"study_design_scores_gemma":[0.000001595024,0.000004586247,0.0001839387,0.00007416865,0.000001464024,0.0000402382,0.00007617235,0.00005105598,0.00009566097,0.005768322,0.9937005,0.000002257214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002958596,0.004779282,0.0007056777,0.001523994,0.0007666841,0.00002790728,0.0001767277,0.0001992779,0.9915246],"genre_scores_gemma":[0.001856985,0.002779457,0.0003043975,0.0005087572,0.0002175242,0.00002100937,0.0001344303,0.00006185867,0.9941155],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3798376,"threshold_uncertainty_score":0.8845865,"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."}}