{"id":"W1545415166","doi":"10.20360/g2cp49","title":"Mobile Digital Devices and Preschoolers’ Home Multiliteracy Practices","year":2015,"lang":"en","type":"article","venue":"Language and Literacy","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Touchscreen; Literacy; Entertainment; Psychology; Early literacy; Mobile device; Information and Communications Technology; Digital literacy; Emergent literacy; Developmental psychology; Computer science; Pedagogy; World Wide Web; Human–computer interaction; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001930238,0.00009929395,0.0001207975,0.00007625003,0.0001310858,0.0008379289,0.00009813936,0.0000736465,0.00003404608],"category_scores_gemma":[0.0004748726,0.00008521124,0.00001783985,0.0001408153,0.0001426971,0.002503657,0.0001130794,0.00009511542,0.00002714211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001449482,"about_ca_system_score_gemma":0.00005230778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003776893,"about_ca_topic_score_gemma":0.00009018506,"domain_scores_codex":[0.9992303,0.00003345042,0.0001366151,0.0002259212,0.0001646166,0.0002091046],"domain_scores_gemma":[0.9993826,0.0001424037,0.0001144336,0.0001165769,0.00006199454,0.0001819502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005102972,0.00009127259,0.1914305,0.00002972134,0.00002445315,0.000101382,0.3778667,8.165939e-8,0.00002316671,0.002728042,0.001026275,0.4266274],"study_design_scores_gemma":[0.0007198475,0.0001079402,0.01509615,0.00004464063,0.00001176863,0.00002124588,0.0547197,0.0000284971,0.00002931824,0.002379374,0.9265509,0.0002906183],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597321,0.007055264,0.000009727701,0.0002792336,0.00008510005,0.000169509,0.00001152491,0.0001317652,0.03252577],"genre_scores_gemma":[0.9938952,0.0001301399,0.0005169855,0.0002447685,0.0001307345,0.0000135038,0.00001859641,0.000007060236,0.005042957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9255246,"threshold_uncertainty_score":0.8080168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176474178314146,"score_gpt":0.3258173853222733,"score_spread":0.3081699674908587,"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."}}