{"id":"W2083917072","doi":"10.1145/1099203.1099218","title":"Broadcasting information via display names in instant messaging","year":2005,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Instant messaging; Computer science; Broadcasting (networking); Instant; Multimedia; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004070885,0.0005420493,0.0003566414,0.001164211,0.002123366,0.00311927,0.001296094,0.001750354,0.005792731],"category_scores_gemma":[0.01851279,0.0007423954,0.0002563318,0.00128992,0.002075912,0.007485677,0.002762677,0.0009061085,0.002429279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006831455,"about_ca_system_score_gemma":0.0003747004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235834,"about_ca_topic_score_gemma":0.001131498,"domain_scores_codex":[0.9929062,0.0049802,0.000289663,0.0004789195,0.0009745873,0.0003703748],"domain_scores_gemma":[0.9826902,0.01093969,0.001900543,0.00317593,0.0008573877,0.0004362772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003400289,0.0006149484,0.03710364,0.001663622,0.0001012013,0.003276536,0.09613407,0.005398765,0.09550105,0.07306611,0.02041595,0.6633238],"study_design_scores_gemma":[0.0005650528,0.00400391,0.06866314,0.001233971,0.0009239734,0.01150364,0.0334132,0.03364649,0.1729583,0.0617929,0.6106169,0.0006785407],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.618687,0.002385885,0.2650301,0.002497582,0.0004062378,0.0005205295,0.000356472,0.007862807,0.1022534],"genre_scores_gemma":[0.9406416,0.0005917727,0.04550412,0.0003209058,0.0001721094,0.0001848787,0.0001642084,0.0003447488,0.01207558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005792731,"threshold_uncertainty_score":0.0215292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477470926439175,"score_gpt":0.3137636021181952,"score_spread":0.2989888928538035,"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."}}