{"id":"W4213439334","doi":"10.1142/12825","title":"Preparing for Pandemics","year":2022,"lang":"en","type":"book","venue":"WORLD SCIENTIFIC eBooks","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001348823,0.00116704,0.0004037139,0.000865406,0.003155474,0.006315732,0.0008843262,0.003601234,0.1474675],"category_scores_gemma":[0.003898777,0.0004774969,0.0005729754,0.0004423005,0.001371777,0.006067449,0.003608621,0.005408146,0.09118296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577731,"about_ca_system_score_gemma":0.003486479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004226616,"about_ca_topic_score_gemma":0.01149649,"domain_scores_codex":[0.9994129,0.0001688457,0.00001615595,0.00005838179,0.000254392,0.00008935638],"domain_scores_gemma":[0.9992356,0.0002476478,0.00003102586,0.00008431612,0.000184478,0.000216899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003991801,0.00001044624,0.00002430388,0.00002553614,0.000001364397,0.00003137984,0.000210434,0.00005758463,0.00008334022,0.01882826,0.9551835,0.02553986],"study_design_scores_gemma":[0.000001370363,0.000003959457,0.00002836282,0.00004178514,6.484233e-7,0.0000202544,0.0001971654,0.00001903009,0.0000186355,0.005144694,0.9945219,0.00000226737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002465741,0.006190769,0.002401015,0.0299872,0.02880014,0.00009914954,0.0001284697,0.0003744695,0.9317722],"genre_scores_gemma":[0.001676388,0.002829337,0.001627595,0.01428727,0.002798142,0.00005037319,0.000118109,0.0002090016,0.9764038],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1474675,"threshold_uncertainty_score":0.4933279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0551505675428455,"score_gpt":0.3397579677858639,"score_spread":0.2846074002430184,"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."}}