{"id":"W4399367197","doi":"10.5206/cjils-rcsib.v47i1.17128","title":"Canadian Public Library Pandemic Response: Bridging the Digital Divide and Preparing for Future Pandemics","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Information and Library Science","topic":"Library Science and Administration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Bridging (networking); Pandemic; Coronavirus disease 2019 (COVID-19); Political science; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Library science; Computer science; Virology; Medicine; Computer security; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006996782,0.000950653,0.0006268564,0.003382208,0.03370497,0.0159069,0.004537641,0.006331573,0.01845613],"category_scores_gemma":[0.01859316,0.0004032016,0.0009877783,0.004116805,0.008970969,0.009757072,0.01488579,0.007922426,0.002161652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09834255,"about_ca_system_score_gemma":0.3445782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.943538,"about_ca_topic_score_gemma":0.974478,"domain_scores_codex":[0.9902226,0.00154968,0.0002298514,0.0004143165,0.002913002,0.0046707],"domain_scores_gemma":[0.9814075,0.001655428,0.0007673712,0.0005265747,0.007040108,0.008602965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001277115,0.0001747165,0.01627864,0.001175141,0.0000550093,0.001061239,0.02446976,0.001336763,0.0008494961,0.04169334,0.7179728,0.1948055],"study_design_scores_gemma":[0.00004322945,0.00006039688,0.01534334,0.001148534,0.00004239551,0.000228267,0.102185,0.000639746,0.0004849285,0.009239934,0.8704206,0.0001637361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02985288,0.01551469,0.002178917,0.8061318,0.005264788,0.0003704356,0.001220915,0.000604548,0.138861],"genre_scores_gemma":[0.5492052,0.05017513,0.01729456,0.2930839,0.003285057,0.0005353597,0.004117458,0.0004224507,0.08188088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09834255,"threshold_uncertainty_score":0.7135285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421997974460234,"score_gpt":0.2432273978746124,"score_spread":0.2290074181300101,"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."}}