{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001488398,0.0001602621,0.0002198799,0.0008246159,0.0008750507,0.0008448981,0.001117321,0.00003493404,0.00004285714],"category_scores_gemma":[0.0002802322,0.0001167219,0.0000543944,0.001092091,0.003301019,0.004348364,0.0001487875,0.0001082403,0.00000127694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004402794,"about_ca_system_score_gemma":0.0009343144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0240543,"about_ca_topic_score_gemma":0.19439,"domain_scores_codex":[0.9982154,0.00007457604,0.0005734761,0.0003466058,0.0002642576,0.0005256552],"domain_scores_gemma":[0.997465,0.0001196617,0.0004740111,0.000378886,0.0004379563,0.001124443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001291763,0.00005605676,0.8508987,0.00001026711,0.00001411804,0.0001365119,0.01124175,0.00006237515,0.005599577,0.07057167,0.0002304638,0.06117719],"study_design_scores_gemma":[0.0004987133,0.0004097747,0.9871073,0.0003595032,0.00003000815,0.0006164769,0.001085082,0.004808457,0.001057379,0.001758457,0.001885575,0.0003832274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994503,0.0004300556,0.002075099,0.001797211,0.0001629019,0.0001302675,0.00001575483,0.000009632948,0.000876105],"genre_scores_gemma":[0.9927601,0.00003535202,0.006701713,0.0001085531,0.00001699673,0.000002680941,0.000001519417,0.000005730169,0.0003673901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1703357,"threshold_uncertainty_score":0.9994114,"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."}}