{"id":"W2767111806","doi":"10.4018/ijsvr.2017070101","title":"Emoji in Advertising","year":2017,"lang":"en","type":"article","venue":"International Journal of Semiotics and Visual Rhetoric","topic":"Digital Communication and Language","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Emoji; Advertising; Notice; Computer science; Social media; World Wide Web; Business; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.001549514,0.0004521113,0.000252006,0.001371517,0.002824442,0.005636406,0.0002971273,0.001419767,0.003750935],"category_scores_gemma":[0.004059598,0.00019703,0.0002687167,0.001116484,0.008561349,0.004576887,0.002101879,0.001538335,0.0009013686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407417,"about_ca_system_score_gemma":0.0006155866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008347482,"about_ca_topic_score_gemma":0.0008830093,"domain_scores_codex":[0.9979867,0.001362721,0.00008471966,0.0001484524,0.0002946779,0.0001227439],"domain_scores_gemma":[0.9977152,0.001501286,0.0001796889,0.0002029597,0.0002998981,0.0001009747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003213768,0.00001355507,0.0004629409,0.0002044207,0.000005466644,0.0002115633,0.02972081,0.0001153621,0.001381182,0.9395283,0.004096767,0.02422745],"study_design_scores_gemma":[0.00001425367,0.00009649866,0.003258488,0.000706329,0.0000357504,0.001564313,0.0178001,0.001271473,0.002887722,0.2037014,0.7686182,0.00004543076],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08201232,0.01955166,0.03496422,0.01335541,0.002167117,0.00007112631,0.0001379207,0.0002541443,0.8474861],"genre_scores_gemma":[0.9380151,0.005002837,0.007380604,0.00201099,0.0008350618,0.00006680326,0.00006230806,0.0001536584,0.04647266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005636406,"threshold_uncertainty_score":0.01254809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062874656993647,"score_gpt":0.3539293339628054,"score_spread":0.3333005873928689,"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."}}