{"id":"W2599696197","doi":"10.29173/slw6915","title":"School Libraries in New Zealand as Technology Hubs: Enablers and Barriers to School Librarians Becoming Technology Leaders","year":2016,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"School library; Curriculum; Government (linguistics); Public relations; Information technology; Political science; Information and Communications Technology; Sociology; Pedagogy; Library science; Computer science","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","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.0005952505,0.0005034,0.0006142665,0.003127312,0.001144656,0.001918421,0.001839292,0.000611349,0.007652161],"category_scores_gemma":[0.007855807,0.0004182738,0.0001018469,0.005532532,0.002272046,0.04195411,0.0007191774,0.0007491412,0.001494401],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182987,"about_ca_system_score_gemma":0.006894584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007163912,"about_ca_topic_score_gemma":0.0002577392,"domain_scores_codex":[0.9956263,0.0002048053,0.0009888249,0.0009249786,0.0006238405,0.001631226],"domain_scores_gemma":[0.9957374,0.0004280886,0.0002771846,0.0007937329,0.00007377141,0.002689786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001738316,0.00002527312,0.5066897,0.00001957779,0.00004698642,0.00003611478,0.009150934,0.0000119851,0.0006182575,0.3253541,0.1456842,0.01218905],"study_design_scores_gemma":[0.00136304,0.000157011,0.006286826,0.0003489582,0.0000122412,0.0000111083,0.04003458,0.000005526185,0.002809495,0.1463237,0.8019301,0.0007174103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2724476,0.00158812,0.0003340422,0.6634446,0.001066681,0.001664582,0.00004130775,0.001941725,0.05747134],"genre_scores_gemma":[0.6338919,0.001198188,0.02973115,0.06435983,0.001625119,0.0003397739,0.00003044206,0.0002002259,0.2686234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6562459,"threshold_uncertainty_score":0.9998269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397098009934128,"score_gpt":0.2606112772959162,"score_spread":0.2466402971965749,"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."}}