{"id":"W3162994603","doi":"10.1080/13614533.2021.1930076","title":"Views of Academic Library Directors on Artificial Intelligence: A Representative Survey in Hungary","year":2021,"lang":"en","type":"article","venue":"New Review of Academic Librarianship","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Quarter (Canadian coin); Academic library; Library science; Service (business); Higher education; Computer science; Sociology; Public relations; Political science; Business; Marketing; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002907705,0.0002193417,0.0009192969,0.0001387002,0.0001487574,0.00002230019,0.0007289998,0.0004105034,0.001866118],"category_scores_gemma":[0.005848026,0.000220811,0.0002242894,0.001510056,0.0004664774,0.0008531455,0.0001645013,0.001080177,0.000071681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009171973,"about_ca_system_score_gemma":0.002914042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001048579,"about_ca_topic_score_gemma":0.000164227,"domain_scores_codex":[0.9948155,0.002282588,0.001562466,0.0004990514,0.0004389017,0.0004014425],"domain_scores_gemma":[0.995899,0.002843455,0.0007047221,0.0002798276,0.00007756077,0.0001954336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001372618,0.0001906067,0.2801845,0.001859506,0.0001566883,0.000007300997,0.03771342,0.000005399461,0.00007009377,0.2576052,0.2793873,0.1426827],"study_design_scores_gemma":[0.0003219109,0.00009686129,0.4249687,0.01829369,0.0001274806,0.000002296106,0.01851704,0.000003932081,0.006716563,0.15224,0.3777721,0.0009394173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1296228,0.563984,0.0000770027,0.1001773,0.0026556,0.002308798,0.0002659016,0.0001476435,0.2007609],"genre_scores_gemma":[0.2871124,0.6963275,0.0006348076,0.006666502,0.00169275,0.00007272023,0.0001749037,0.0000598735,0.0072585],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1935024,"threshold_uncertainty_score":0.9990463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2374087386918866,"score_gpt":0.41502368578306,"score_spread":0.1776149470911733,"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."}}