{"id":"W2594487997","doi":"10.5539/ijms.v9n2p160","title":"What Drives Consumers to Accept M-ads on Their Hand-Held Devices? A Literature Review, Insights and Propositions for Emerging Markets","year":2017,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personalization; Credibility; Intrusiveness; Communication source; Business; Advertising; Marketing; Key (lock); Incentive; Control (management); Entertainment; Mobile phone; Usability; Computer science; Psychology; Political science; Economics","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":[0.001461169,0.0002834782,0.0003964538,0.001719147,0.0004488418,0.00283984,0.0003535168,0.001030651,0.003233921],"category_scores_gemma":[0.004777512,0.0002106403,0.0006706294,0.001698383,0.0006833532,0.002662429,0.000359163,0.0008009796,0.0004337407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008024983,"about_ca_system_score_gemma":0.001167067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003331033,"about_ca_topic_score_gemma":0.003760399,"domain_scores_codex":[0.9993466,0.0002596318,0.00005091308,0.0001052986,0.0001508485,0.00008685437],"domain_scores_gemma":[0.9952977,0.002955449,0.001018924,0.00005444884,0.0005547884,0.0001186705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003740578,0.0007142464,0.5994373,0.00790385,0.0005176043,0.001678851,0.013254,0.000416589,0.001980467,0.02741735,0.005801955,0.3405038],"study_design_scores_gemma":[0.00004092335,0.0004804369,0.8780993,0.006099673,0.00143588,0.002139964,0.04359658,0.003093614,0.001674717,0.01561967,0.04763534,0.00008393708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7909594,0.1450637,0.002719965,0.01769425,0.0002099365,0.0001302326,0.0003315356,0.00002679609,0.04286413],"genre_scores_gemma":[0.9453518,0.05083872,0.000723661,0.001041,0.0001568716,0.00003459554,0.0001041076,0.000004903379,0.001744272],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003331033,"threshold_uncertainty_score":0.01081848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08635638445941544,"score_gpt":0.4488247461562356,"score_spread":0.3624683616968201,"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."}}