{"id":"W2559169105","doi":"10.3233/efi-160085","title":"Apps for academic success: Developing digital literacy and awareness to increase usage","year":2016,"lang":"en","type":"article","venue":"Education for Information","topic":"Web and Library Services","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outreach; Vendor; Promotion (chess); World Wide Web; Point (geometry); Variety (cybernetics); Computer science; Multimedia; Mobile technology; Mobile device; Internet privacy; Business; Marketing; Political science","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":[0.003787934,0.0004481835,0.000252148,0.001688853,0.001278539,0.003695398,0.0007210837,0.001092677,0.006687442],"category_scores_gemma":[0.01083196,0.000309149,0.0004292034,0.0007733234,0.00108587,0.00295648,0.003982735,0.001792001,0.002115296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009067087,"about_ca_system_score_gemma":0.005295773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001775736,"about_ca_topic_score_gemma":0.003469663,"domain_scores_codex":[0.9982144,0.0006919398,0.0001006909,0.0001413173,0.0005498247,0.0003018998],"domain_scores_gemma":[0.9935883,0.002386948,0.0006114435,0.0002727524,0.000842458,0.002298053],"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":[0.00004923335,0.002346829,0.03284942,0.0008097186,0.0000311144,0.0003413395,0.0242267,0.00006918242,0.002402917,0.005421115,0.03128339,0.900169],"study_design_scores_gemma":[0.0002154855,0.00344747,0.4026906,0.004076753,0.0002748728,0.002035558,0.05453938,0.001344616,0.009665296,0.01570004,0.5058229,0.0001869852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5693846,0.006836929,0.02057561,0.06797776,0.001248543,0.002457878,0.0002901528,0.002105857,0.3291228],"genre_scores_gemma":[0.90643,0.007585714,0.04197414,0.005731799,0.0004217713,0.001757142,0.0002054597,0.0001263847,0.0357677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006687442,"threshold_uncertainty_score":0.02237171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307411728814182,"score_gpt":0.2873436565973359,"score_spread":0.274269539309194,"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."}}