{"id":"W7104180427","doi":"10.5267/j.ijdns.2025.10.013","title":"Unleashing big data analytics to enhancing customer happiness in digital marketing 4.0 era, evidence from health care sector","year":2025,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Happiness; Health care; Analytics; Predictive analytics; Digital marketing; Digital health; Computer-assisted web interviewing","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00186469,0.00009836273,0.0001848317,0.0005491204,0.0001598318,0.001164132,0.003510593,0.00002649344,0.000007764115],"category_scores_gemma":[0.002075495,0.00008396048,0.00001502192,0.001090039,0.0001103774,0.005697477,0.003613238,0.000211082,0.000004452674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009392471,"about_ca_system_score_gemma":0.0002628265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003320882,"about_ca_topic_score_gemma":0.001075087,"domain_scores_codex":[0.9984514,0.000007793524,0.0004384412,0.0003587987,0.0005125004,0.0002311153],"domain_scores_gemma":[0.998594,0.0002441079,0.0003315064,0.0004329032,0.0003757242,0.00002174647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001657219,0.00003433342,0.2979199,0.00006801554,0.00005774015,0.00004591676,0.0002139606,0.001413369,0.0003020313,0.0006313283,0.01809006,0.6810576],"study_design_scores_gemma":[0.001798008,0.00006009943,0.5724361,0.01966437,0.0001282305,0.00003442425,0.01195031,0.1514623,0.000117989,0.004335341,0.2369144,0.001098436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9338067,0.004684286,0.04336667,0.01242974,0.004004162,0.0001851012,0.0001483847,0.00005074572,0.00132426],"genre_scores_gemma":[0.994557,0.0002454639,0.002468809,0.001260863,0.001399881,4.273751e-7,0.00004803911,0.000004428608,0.00001506011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6799592,"threshold_uncertainty_score":0.9998727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07239868850400039,"score_gpt":0.3313338264314997,"score_spread":0.2589351379274993,"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."}}