{"id":"W4399649497","doi":"10.1142/13944","title":"Effective Pandemic Response: Linking Evidence, Intervention, Politics, Organization, and Governance","year":2024,"lang":"en","type":"book","venue":"WORLD SCIENTIFIC eBooks","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"","keywords":"Politics; Corporate governance; Intervention (counseling); Pandemic; Political science; Business; Public administration; Coronavirus disease 2019 (COVID-19); Medicine; Law; Nursing; Finance","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":[0.01190431,0.001023009,0.001147927,0.003520226,0.001620065,0.01002007,0.002498199,0.005285176,0.02923862],"category_scores_gemma":[0.02560599,0.0006210938,0.000653392,0.004288821,0.005414591,0.01145499,0.003616443,0.004986302,0.0101069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005451883,"about_ca_system_score_gemma":0.01257226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009684675,"about_ca_topic_score_gemma":0.02963039,"domain_scores_codex":[0.9933112,0.003677786,0.0004272452,0.0002078134,0.002138229,0.0002376985],"domain_scores_gemma":[0.9588779,0.03548206,0.0005828894,0.0009911061,0.003275598,0.0007904542],"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":[0.000008447933,0.00001635245,0.0001179423,0.001115469,0.00001329788,0.00002921952,0.0004289096,0.0003352597,0.00007579662,0.07292098,0.8019261,0.1230122],"study_design_scores_gemma":[0.000007133323,0.00001665085,0.0002942572,0.003955174,0.000009957914,0.00006401064,0.0007483116,0.0001941919,0.00007958886,0.08081101,0.913799,0.00002078604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004037952,0.2493701,0.01682011,0.3365903,0.03898291,0.0002999787,0.0007217869,0.0004264192,0.3563846],"genre_scores_gemma":[0.01634475,0.3796047,0.05994321,0.1590999,0.03640431,0.00155127,0.001549164,0.0007288569,0.3447739],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02923862,"threshold_uncertainty_score":0.09781289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04291111703719638,"score_gpt":0.3765045765309005,"score_spread":0.3335934594937041,"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."}}