{"id":"W2408369670","doi":"10.29173/slw6876","title":"New Zealand school librarians: Technology leaders?","year":2014,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"School library; Hierarchy; Sociology; Public relations; Affect (linguistics); Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004073707,0.0002011957,0.0003607181,0.002142397,0.008272971,0.01380145,0.0005605184,0.001609074,0.02296337],"category_scores_gemma":[0.0121014,0.0003812169,0.0002097907,0.002862244,0.004258459,0.007511122,0.002819925,0.002172319,0.004856816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007804966,"about_ca_system_score_gemma":0.01771808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09705552,"about_ca_topic_score_gemma":0.1920068,"domain_scores_codex":[0.9958096,0.001154887,0.0001792742,0.0004062005,0.001226668,0.00122352],"domain_scores_gemma":[0.9884689,0.001412054,0.002116694,0.0002749596,0.002779328,0.004948001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001821942,0.0002520086,0.1469135,0.0007728418,0.00003323791,0.001425564,0.4786789,0.00005061206,0.001834354,0.02937453,0.09980941,0.2406729],"study_design_scores_gemma":[0.00003893743,0.0001740722,0.0844375,0.0005228256,0.00005013789,0.000413487,0.4936143,0.00009392861,0.000803131,0.002025967,0.4177733,0.00005243828],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6410246,0.008379074,0.001235436,0.105393,0.0007629044,0.0001478047,0.0002323731,0.000248449,0.2425763],"genre_scores_gemma":[0.9095603,0.003277391,0.0005186248,0.007896716,0.000172225,0.00005379332,0.00009417696,0.00006090974,0.07836589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09705552,"threshold_uncertainty_score":0.1929812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263724067430375,"score_gpt":0.2548435989524329,"score_spread":0.2422063582781291,"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."}}