{"id":"W3109123114","doi":"10.3389/fpubh.2020.564111","title":"Public Health Responses to COVID-19: Whose Lives Do We Flatten Along With “The Curve?”","year":2020,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Response Biomedical (Canada); University of Calgary","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Public health; 2019-20 coronavirus outbreak; Public opinion; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public health policy; Front (military); Political science; Health policy; Public relations; Medicine; Virology; Geography; Nursing; Politics; Law","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":[0.02593929,0.0005116048,0.001120704,0.002205683,0.005172354,0.008060226,0.001920833,0.005196685,0.01759033],"category_scores_gemma":[0.08318077,0.0005715488,0.0008546709,0.003663958,0.005644239,0.01480309,0.008505281,0.01255802,0.002814246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005833464,"about_ca_system_score_gemma":0.008693691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03709221,"about_ca_topic_score_gemma":0.04025143,"domain_scores_codex":[0.9854422,0.007892484,0.0008403937,0.001013072,0.002373637,0.002438245],"domain_scores_gemma":[0.9550174,0.01692721,0.006474767,0.002275637,0.01006296,0.009241958],"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":[0.0005078656,0.0001410445,0.08567836,0.002059516,0.0003749999,0.000419919,0.03127518,0.0002533687,0.0003433061,0.05266334,0.5854579,0.2408251],"study_design_scores_gemma":[0.0001227629,0.0004228893,0.1911408,0.01639287,0.0002846627,0.0009745103,0.1350018,0.0005392839,0.0005099913,0.1163182,0.5378841,0.000408215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0195015,0.02769879,0.0008515656,0.937998,0.003019533,0.00004329585,0.001865822,0.00004906952,0.008972402],"genre_scores_gemma":[0.5009324,0.07344307,0.003186854,0.4097669,0.004981929,0.0003195384,0.002878036,0.0001973916,0.004293934],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03709221,"threshold_uncertainty_score":0.1371817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3923052826528516,"score_gpt":0.4336637702192502,"score_spread":0.04135848756639859,"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."}}