{"id":"W3197871828","doi":"10.29173/slw8260","title":"Technology use in Government School Libraries in Medellin, Colombia","year":2021,"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":"School library; Government (linguistics); Social media; Technology integration; Public relations; Political science; Sociology; Educational technology; Pedagogy; Library science; Computer science; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006783049,0.0002436332,0.0004182995,0.003660333,0.001576701,0.003986997,0.0003791613,0.0004310143,0.003320385],"category_scores_gemma":[0.004369033,0.0002228568,0.0001785752,0.003659716,0.0007690928,0.001820703,0.001297753,0.0003654346,0.0004586551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004823876,"about_ca_system_score_gemma":0.002907805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08535536,"about_ca_topic_score_gemma":0.2071016,"domain_scores_codex":[0.9989279,0.0003362227,0.00009594416,0.0001844724,0.0002593056,0.000195998],"domain_scores_gemma":[0.9963585,0.001352692,0.001065019,0.0001429192,0.0006385919,0.0004423424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000182049,0.0002857303,0.7945297,0.0009406679,0.00003990812,0.0007676724,0.07145527,0.0001072285,0.001129205,0.001312021,0.002438437,0.1268121],"study_design_scores_gemma":[0.000007916951,0.00007709635,0.8857985,0.0002182644,0.00003364443,0.000286425,0.09970698,0.0001481639,0.0005763516,0.0001067988,0.01300923,0.00003058406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907447,0.001738819,0.0001070463,0.0003237565,0.000007201398,0.0000322452,0.0004167496,0.00002835654,0.006601198],"genre_scores_gemma":[0.9976774,0.0007915926,0.0001407566,0.00006127396,0.000003920914,0.00001871154,0.0001547212,0.000005425537,0.00114629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08535536,"threshold_uncertainty_score":0.169717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176871160674253,"score_gpt":0.2240375577764404,"score_spread":0.2122688461696979,"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."}}