{"id":"W47333458","doi":"10.25959/23206415","title":"Mobile phone text messaging language : how and why undergraduates use textisms","year":2013,"lang":"en","type":"dissertation","venue":"Figshare","topic":"Digital Communication and Language","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Text messaging; Mobile phone; Phone; Psychology; Literacy; Text message; Computer science; Internet privacy; Social psychology; Linguistics; Pedagogy","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":[0.002372114,0.0001805692,0.0003314091,0.0008579808,0.001198642,0.002720852,0.000459616,0.0006957299,0.002698031],"category_scores_gemma":[0.01668126,0.0003487163,0.0002308071,0.0007415724,0.001283582,0.001900484,0.001355378,0.0008510384,0.0007493111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009768682,"about_ca_system_score_gemma":0.001128436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009469768,"about_ca_topic_score_gemma":0.01546177,"domain_scores_codex":[0.997663,0.0006899868,0.0002234477,0.0003006943,0.0008135363,0.0003093356],"domain_scores_gemma":[0.9930912,0.002464956,0.001968544,0.0002402422,0.001111541,0.001123477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001765794,0.0001898196,0.5961668,0.0002982068,0.00002786048,0.0005729516,0.3429277,0.00002967351,0.003454078,0.000604446,0.002367967,0.05318397],"study_design_scores_gemma":[0.00001350468,0.0002870904,0.7018842,0.0003288334,0.00003159388,0.0006890909,0.2841511,0.0002434814,0.0007405328,0.0004504152,0.01113054,0.00004960792],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977011,0.0004037342,0.0001333417,0.000492567,0.00001923232,0.00001515213,0.00003543932,0.00000678051,0.001192647],"genre_scores_gemma":[0.9980029,0.0004470393,0.0001630896,0.0002530398,0.00001239159,0.00001501165,0.00004731387,0.000008822219,0.001050317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009469768,"threshold_uncertainty_score":0.01882929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502491036017116,"score_gpt":0.2593299642676871,"score_spread":0.234305053907516,"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."}}