{"id":"W2519353570","doi":"10.1145/2968219.2968549","title":"The roles of emojis in mobile phone notifications","year":2016,"lang":"en","type":"article","venue":"","topic":"Digital Communication and Language","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Emoji; Mobile phone; Phone; Computer science; Context (archaeology); Internet privacy; Social media; Tone (literature); World Wide Web; Linguistics; History; Telecommunications","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":[0.001389373,0.0003806554,0.0002293709,0.001172678,0.001253973,0.003309683,0.0002872983,0.0006090594,0.001620356],"category_scores_gemma":[0.008830966,0.0002717418,0.0002372527,0.0006509918,0.001143207,0.002277403,0.001390018,0.0007426256,0.0004631022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004796649,"about_ca_system_score_gemma":0.0003427897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001123897,"about_ca_topic_score_gemma":0.001758725,"domain_scores_codex":[0.9984377,0.0008428391,0.0001002238,0.0001615908,0.000308353,0.0001492263],"domain_scores_gemma":[0.9931428,0.004048202,0.001264255,0.0002835105,0.0008687954,0.0003923964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001737152,0.0003391738,0.2746392,0.001792169,0.0001636569,0.00429,0.3029544,0.0009392597,0.1772299,0.01994076,0.005346257,0.2106281],"study_design_scores_gemma":[0.00003073365,0.0004397609,0.8126112,0.0006489029,0.000205485,0.002427627,0.103519,0.004787835,0.01422878,0.005471643,0.05541071,0.0002183488],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647347,0.000660411,0.005465135,0.000630136,0.0001645108,0.00004798938,0.0002445507,0.000154093,0.02789854],"genre_scores_gemma":[0.9957342,0.000217485,0.001622197,0.0001284896,0.00006730857,0.00002395464,0.00007198872,0.00004320314,0.002091259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003309683,"threshold_uncertainty_score":0.007347763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332507045678662,"score_gpt":0.2514677686447213,"score_spread":0.2381426981879346,"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."}}