{"id":"W4255360224","doi":"10.29173/slw6930","title":"Actionbound at School: An Introduction to Library Use with Apps &amp; Co.","year":2017,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile device; Bring your own device; Work (physics); Computer science; World Wide Web; Internet privacy; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.0002280954,0.0003195436,0.0002568729,0.0003323793,0.001738649,0.009126672,0.00224519,0.0001084582,0.001228483],"category_scores_gemma":[0.0007648438,0.0002970003,0.00005676582,0.0004708164,0.0002108939,0.02603078,0.0007957109,0.0005140266,0.002051806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001514999,"about_ca_system_score_gemma":0.000474196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007850645,"about_ca_topic_score_gemma":0.0001041698,"domain_scores_codex":[0.9974375,0.0001587167,0.0003270957,0.001071603,0.0004785648,0.0005265441],"domain_scores_gemma":[0.9948379,0.0001268317,0.0003509282,0.003815616,0.00008471322,0.0007840571],"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":[0.0003280128,0.0001718912,0.4187169,0.00002948734,0.00006460641,0.00001236433,0.0008730298,0.001587596,0.0009876009,0.04804249,0.5192553,0.00993067],"study_design_scores_gemma":[0.000245235,0.0001063668,0.2736611,0.00003115162,0.000008940656,0.00003341745,0.00004164269,0.0001715764,0.00218372,0.002911521,0.7202364,0.0003689146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7807415,0.0001218268,0.06881454,0.1251896,0.005206765,0.001454993,0.00001841726,0.002738618,0.01571373],"genre_scores_gemma":[0.2767177,0.00003097315,0.4590435,0.004681367,0.006698437,0.0003609637,0.0002642901,0.0001809042,0.2520218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5040238,"threshold_uncertainty_score":0.9999482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169046062981693,"score_gpt":0.2663705932965909,"score_spread":0.2446801326667739,"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."}}