{"id":"W7096165578","doi":"","title":"7 Copyright © Canadian Academy of Oriental and Occidental Culture Linguistic Dimensions of Initialisms used in Electronic Communication","year":2013,"lang":"en","type":"article","venue":"","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Linguistic analysis; Discourse analysis; Electronic communication","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":[0.0006839484,0.0003589321,0.0003230217,0.001487959,0.00431495,0.006800852,0.0004963453,0.000510087,0.1143485],"category_scores_gemma":[0.00199073,0.0001664836,0.0001982659,0.002496724,0.003285488,0.001405515,0.00132266,0.0007696314,0.009901078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009943786,"about_ca_system_score_gemma":0.02252238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8547384,"about_ca_topic_score_gemma":0.8877687,"domain_scores_codex":[0.9994401,0.00006905247,0.00003805309,0.0000769471,0.0002005321,0.000175307],"domain_scores_gemma":[0.9984447,0.0001573253,0.00006073721,0.0001212547,0.001023387,0.0001926451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001161258,0.00006942563,0.0205635,0.0004019736,0.00003206719,0.0005077315,0.02227166,0.0002537551,0.002190579,0.2692573,0.4477953,0.2365405],"study_design_scores_gemma":[0.000007770945,0.000008426388,0.03867777,0.0002599287,0.00001722175,0.0001373425,0.01528548,0.0001083714,0.0003128907,0.005357053,0.9398018,0.00002594869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03078411,0.002572952,0.0004655795,0.005484827,0.001021154,0.00003312831,0.001282515,0.00008695164,0.9582688],"genre_scores_gemma":[0.3527488,0.007223238,0.003338627,0.001833323,0.0002116239,0.00008367392,0.001737873,0.0001373007,0.6326855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8547384,"threshold_uncertainty_score":0.3825337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153424328857723,"score_gpt":0.2617365079153277,"score_spread":0.2502022646267505,"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."}}