{"id":"W2979546434","doi":"10.29173/iasl7193","title":"Professional work and learning with smartphones: a comparative study of school librarians from Australia, Hong Kong and United Kingdom","year":2016,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Social media; Professional development; Sample (material); Medical education; Mobile device; Public relations; Psychology; Sociology; Library science; Pedagogy; Political science; Engineering; World Wide Web; Computer science; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0002630295,0.0002246703,0.0002981581,0.0002051571,0.0002122503,0.0002985007,0.0004052305,0.00008734048,0.00004198744],"category_scores_gemma":[0.0001781176,0.0001496988,0.00001346194,0.0006072277,0.0001956509,0.001533178,0.0002872811,0.0003960217,0.000008005551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000023625,"about_ca_system_score_gemma":0.0001296945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003034731,"about_ca_topic_score_gemma":0.00001794535,"domain_scores_codex":[0.9984109,0.00009514388,0.0002845816,0.0005935898,0.000350529,0.0002652169],"domain_scores_gemma":[0.9985048,0.0002881522,0.0003183005,0.0001367983,0.0005703057,0.0001816064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009331585,0.0001658707,0.8101577,0.00001964511,0.00004190172,0.000001918865,0.1863589,0.000005836631,0.0003963136,0.001031398,0.0001649878,0.001562274],"study_design_scores_gemma":[0.001308746,0.001004345,0.9174007,0.0007322687,0.00002464814,0.00000754587,0.07728715,0.0005671869,0.0004284242,0.0005255591,0.0003861123,0.0003273425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995136,0.00001093459,0.003397258,0.000751093,0.0001003695,0.0004337786,0.000003550834,0.0001121694,0.00005490145],"genre_scores_gemma":[0.9951785,0.00000209372,0.003950396,0.00003041917,0.00005307026,0.00006468136,0.000002688655,0.00001120839,0.000706955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1090717,"threshold_uncertainty_score":0.6104539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0626447110614601,"score_gpt":0.3031308065996119,"score_spread":0.2404860955381518,"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."}}