{"id":"W2047082859","doi":"10.1108/03074801311304050","title":"Going mobile: creating a mobile presence for your library","year":2013,"lang":"en","type":"article","venue":"New Library World","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Mobile phone; World Wide Web; Mobile technology; Mobile device; Mobile Web; Computer science; Mobile business development; Resource (disambiguation); Construct (python library); Originality; Multimedia; Telecommunications; Qualitative research; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008707788,0.0002440307,0.0002270004,0.0002588144,0.0002217928,0.001241709,0.001611843,0.00007049075,0.00213382],"category_scores_gemma":[0.00006281882,0.0002391077,0.0001129911,0.001043856,0.00003932758,0.01006457,0.0005885795,0.0002761135,0.0005418283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000178493,"about_ca_system_score_gemma":0.0003573344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000284233,"about_ca_topic_score_gemma":8.299762e-7,"domain_scores_codex":[0.998037,0.0001011174,0.0003921517,0.0006852244,0.0002472117,0.0005373382],"domain_scores_gemma":[0.9977825,0.0007664029,0.0002076275,0.0009194979,0.00002415847,0.0002998609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001188557,0.000157769,0.02782288,0.0001087059,0.00002558463,0.000003775541,0.002816101,0.003084303,0.0006821269,0.02234971,0.6592787,0.2836585],"study_design_scores_gemma":[0.0005525969,0.0002839033,0.007547313,0.0002454019,0.000009519412,0.00001305814,0.0001811303,0.1088467,0.007071594,0.0179763,0.8566635,0.0006089653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.3392406,0.006044077,0.2330934,0.0215598,0.0075935,0.01576916,0.00003017691,0.01117534,0.365494],"genre_scores_gemma":[0.1945033,0.00003898165,0.5065036,0.00221314,0.001656509,0.003093063,0.00005207931,0.0001180595,0.2918213],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2830495,"threshold_uncertainty_score":0.9997951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408237306972712,"score_gpt":0.2528466668095961,"score_spread":0.238764293739869,"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."}}