{"id":"W3175915170","doi":"10.1177/03400352211023079","title":"Challenges and opportunities for parliamentary libraries during COVID-19: A case study of the National Assembly of Quebec Library","year":2021,"lang":"en","type":"article","venue":"IFLA Journal","topic":"Library Science and Administration","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Public relations; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Institution; National library; Political science; Best practice; Business; Library science; Computer science; Law; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["scholarly_communication"],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006000719,0.0005712326,0.0004451346,0.001437093,0.05838129,0.009697114,0.004230679,0.005893033,0.00768264],"category_scores_gemma":[0.01520386,0.0006216514,0.0005271733,0.00299267,0.008473821,0.004037011,0.006577285,0.00620801,0.0008444907],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0830514,"about_ca_system_score_gemma":0.0790027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9185711,"about_ca_topic_score_gemma":0.9730618,"domain_scores_codex":[0.9901813,0.004956703,0.0001865884,0.0003540977,0.001199265,0.003122007],"domain_scores_gemma":[0.9849263,0.004327585,0.001216169,0.000495112,0.003403817,0.005631047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001108004,0.0004444854,0.031479,0.0002700487,0.00003881793,0.02890666,0.8395405,0.000796067,0.0008336212,0.01172065,0.05375463,0.03210476],"study_design_scores_gemma":[0.000005481522,0.00004720902,0.008975032,0.000134377,0.00001018061,0.0008756868,0.9339591,0.0002923325,0.0001543187,0.0003081302,0.05519842,0.00003971169],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8731223,0.001255698,0.001154445,0.06443641,0.0003698169,0.0002460544,0.0003151931,0.0001102339,0.05898982],"genre_scores_gemma":[0.9700549,0.0008547793,0.00097064,0.006602915,0.00007037008,0.00008736544,0.0001052406,0.00006731932,0.02118638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9903029,"threshold_uncertainty_score":0.6025829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.194343363910812,"score_gpt":0.3542811093202616,"score_spread":0.1599377454094496,"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."}}