{"id":"W2467952496","doi":"10.1037/cbs0000046","title":"Generation text: Relations among undergraduates’ use of text messaging, textese, and language and literacy skills.","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Behavioural Science/Revue canadienne des sciences du comportement","topic":"Digital Communication and Language","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Text messaging; Literacy; Communication skills; Mathematics education; Linguistics; Pedagogy; Medical education; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001526228,0.000174552,0.0002039865,0.0009892159,0.0003381088,0.001902426,0.0005104092,0.0007957413,0.007519814],"category_scores_gemma":[0.02701438,0.0001988655,0.0002135886,0.0007381471,0.0004387251,0.001241793,0.0009923663,0.001076985,0.001121143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003903905,"about_ca_system_score_gemma":0.0005716861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007348637,"about_ca_topic_score_gemma":0.009977587,"domain_scores_codex":[0.9991643,0.000234634,0.00009283634,0.0001389654,0.0002604459,0.0001087881],"domain_scores_gemma":[0.9729983,0.01352674,0.007426439,0.0006727396,0.001761822,0.003614122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002796446,0.0006217369,0.9612127,0.00005945093,0.00004669829,0.0001415741,0.01779645,0.00005232909,0.0008232247,0.0001518531,0.001029838,0.01778439],"study_design_scores_gemma":[0.000009765996,0.0001560004,0.9931325,0.0000282032,0.00002236397,0.00009097768,0.005271177,0.0002631919,0.0002069127,0.0001165729,0.0006898308,0.00001246524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986078,0.00008608363,0.00003379256,0.000149816,0.000009481312,0.000006620703,0.0001415072,0.000006356098,0.0009584201],"genre_scores_gemma":[0.9986889,0.00005930209,0.00005136423,0.00004067168,0.00001091296,0.000007635156,0.0001581713,0.00000547779,0.0009775728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007519814,"threshold_uncertainty_score":0.02515626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0638317564251241,"score_gpt":0.2610315291534638,"score_spread":0.1971997727283397,"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."}}