{"id":"W2770583966","doi":"","title":"Capturing Consumer Attitude Toward Mobile Advertising: An Empirical Investigation Among Different National Cultures","year":2017,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Advertising; Interactivity; Uncertainty avoidance; Credibility; China; Psychology; Empirical research; Index (typography); Business; Marketing; Political science; Computer science; Multimedia; World Wide Web; Collectivism; Mathematics","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":[0.002244872,0.0002461915,0.0002779467,0.001060485,0.0007995238,0.001434566,0.0002554254,0.0003176229,0.001514832],"category_scores_gemma":[0.006622309,0.0001953844,0.0004435906,0.001488869,0.0007244467,0.0007711969,0.0007473357,0.0005263747,0.0002027956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004951539,"about_ca_system_score_gemma":0.0004413865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005528867,"about_ca_topic_score_gemma":0.008683905,"domain_scores_codex":[0.9990143,0.0004877378,0.0001151825,0.00008188517,0.0002164938,0.00008446861],"domain_scores_gemma":[0.9917107,0.00359669,0.002130385,0.0005128494,0.001580735,0.0004686785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007496675,0.0001504334,0.9818651,0.00004744335,0.00007812119,0.0000987149,0.009217546,0.00004378751,0.0006388255,0.0002239757,0.00005430032,0.007506683],"study_design_scores_gemma":[0.000006884281,0.0001430772,0.9644274,0.00005985798,0.0001193095,0.0003419087,0.03276241,0.0006444804,0.0007109753,0.0001640211,0.0006025986,0.00001708173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988787,0.00003397239,0.00006864071,0.00001531669,0.000001786367,0.00000616045,0.00002056678,3.804245e-7,0.0009745552],"genre_scores_gemma":[0.9995407,0.0000654956,0.0001927299,0.00002090879,0.000002596567,0.00001115225,0.00004512587,0.000001031691,0.0001203467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005528867,"threshold_uncertainty_score":0.01187217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05106082361490643,"score_gpt":0.3594798792299908,"score_spread":0.3084190556150844,"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."}}