{"id":"W4307802670","doi":"10.48550/arxiv.1904.02671","title":"Studying Cultural Differences in Emoji Usage across the East and the West","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Digital Communication and Language","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emoji; Normative; Cultural diversity; Context (archaeology); Social psychology; Cultural psychology; Diversity (politics); Psychology; Pragmatics; Sociology; Social media; Geography; Linguistics; Anthropology; Political science; World Wide Web; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006685955,0.0001485621,0.0001603535,0.0008049242,0.0005004088,0.001213954,0.0001661413,0.0001205927,0.002483807],"category_scores_gemma":[0.001946813,0.0001028653,0.0001470077,0.0009056882,0.0006296253,0.0007195456,0.0007934636,0.0002684933,0.0002545245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002576203,"about_ca_system_score_gemma":0.0001588852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005161013,"about_ca_topic_score_gemma":0.01331585,"domain_scores_codex":[0.9995784,0.000156829,0.00004599553,0.00006981849,0.0000856777,0.00006330709],"domain_scores_gemma":[0.9986796,0.0004860518,0.0003698017,0.0001066539,0.0002448019,0.0001131942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003332801,0.00008063544,0.6932714,0.0002697756,0.0002025725,0.0004566301,0.1955225,0.0001321185,0.01455983,0.004161404,0.001169569,0.08984033],"study_design_scores_gemma":[0.000003781984,0.00006121698,0.904706,0.00008519821,0.00004190946,0.000223722,0.08831221,0.0001789455,0.001429384,0.0003015976,0.00463895,0.00001706109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953773,0.0001271117,0.0001613899,0.00004313414,0.000008199785,0.000003066383,0.00004528877,0.0000015095,0.004233002],"genre_scores_gemma":[0.9984435,0.0003096606,0.0001729191,0.00003648643,0.000003571092,0.000007345687,0.00005333549,0.000004835342,0.0009682816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005161013,"threshold_uncertainty_score":0.01026195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1224477853468647,"score_gpt":0.2178442925944243,"score_spread":0.09539650724755956,"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."}}