{"id":"W4297546686","doi":"10.5539/ijms.v14n2p113","title":"Advergames and Consumer Behaviour: A Quantitative Comparative Analysis of the United Kingdom and Saudi Arabia","year":2022,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Likert scale; Marketing; Advertising; Descriptive statistics; Business; Scale (ratio); Consumer behaviour; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002384421,0.0003112903,0.0005000031,0.002125635,0.001404575,0.001511177,0.0003074055,0.0004657724,0.002473559],"category_scores_gemma":[0.004088514,0.000260312,0.0004614512,0.001886619,0.0008066757,0.0006937089,0.001074782,0.0003963459,0.0003271757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002201163,"about_ca_system_score_gemma":0.001288012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03707017,"about_ca_topic_score_gemma":0.04418539,"domain_scores_codex":[0.9986866,0.0005640112,0.0001536167,0.0001115895,0.0003002648,0.0001839372],"domain_scores_gemma":[0.9959169,0.001484796,0.0007996011,0.00008220816,0.001381799,0.0003346704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000670775,0.0003948667,0.5465567,0.001167695,0.0001378648,0.001212999,0.3975041,0.0001052472,0.002722883,0.000725946,0.0009956256,0.04780528],"study_design_scores_gemma":[0.000009548449,0.0003732333,0.5824276,0.0002812128,0.00005056523,0.0004569229,0.4109782,0.0001648615,0.0003777643,0.00004116314,0.004811156,0.00002778637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985014,0.0004877709,0.00006075248,0.00006573083,0.000004783436,0.00002575574,0.00008499195,0.000001200781,0.0007675955],"genre_scores_gemma":[0.9984185,0.0006086347,0.0001690787,0.00007481031,0.000004828318,0.000036574,0.0001033461,0.000002320009,0.0005818837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03707017,"threshold_uncertainty_score":0.07370877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07340431969533608,"score_gpt":0.4110461648833825,"score_spread":0.3376418451880464,"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."}}