{"id":"W6884651239","doi":"10.11575/prism/39587","title":"Identify, Respond, Neutralize: Recommendations for Canada’s Post-COVID-19 Framework","year":2021,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Outbreak; Pandemic; Preparedness; Infectious disease (medical specialty); Global health; International Health Regulations; Disease surveillance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07046293,0.003423835,0.002759431,0.01028752,0.01607708,0.02284522,0.01648395,0.0172156,0.02126455],"category_scores_gemma":[0.1357698,0.001882378,0.004794188,0.01014398,0.01433226,0.01622431,0.01346447,0.02748289,0.009757739],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1346229,"about_ca_system_score_gemma":0.5808165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9190064,"about_ca_topic_score_gemma":0.9581282,"domain_scores_codex":[0.9403073,0.02040262,0.004874055,0.002583136,0.01996374,0.01186928],"domain_scores_gemma":[0.7421282,0.04960076,0.00568622,0.005235804,0.1418587,0.05549029],"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":[0.00007664345,0.0001382399,0.001808054,0.00294804,0.00005155859,0.0004054394,0.002826448,0.0007041306,0.000245701,0.01843402,0.8668227,0.1055391],"study_design_scores_gemma":[0.00006595383,0.00006719683,0.00280172,0.01379348,0.000102185,0.0001796549,0.008204273,0.0005498494,0.0002760472,0.008965638,0.9647964,0.0001975004],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0009064224,0.03924904,0.01094929,0.8923184,0.01191078,0.002155517,0.002300585,0.001445547,0.03876454],"genre_scores_gemma":[0.02463172,0.1080247,0.2169675,0.572911,0.004288186,0.00539371,0.007130617,0.00116027,0.05949228],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8653771,"threshold_uncertainty_score":0.9767623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09487746390229904,"score_gpt":0.4214153424432632,"score_spread":0.3265378785409642,"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."}}