{"id":"W4280594276","doi":"10.18280/isi.270213","title":"Impact of Vaccination on COVID-19 Spread in Real Time: Visualization and Analysis Tool","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Data science; Vaccination; Big data; Variety (cybernetics); Computer science; Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Disease; Visualization; Infectious disease (medical specialty); Virology; Data mining; Medicine; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00143344,0.0007488424,0.0004198402,0.003365204,0.0004748645,0.002025123,0.0004992326,0.0006464891,0.004883343],"category_scores_gemma":[0.004311588,0.0002028459,0.0007232505,0.001434539,0.0002026333,0.001280935,0.000840492,0.0007094523,0.0008598574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005396136,"about_ca_system_score_gemma":0.000544303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01256928,"about_ca_topic_score_gemma":0.009590406,"domain_scores_codex":[0.9994693,0.0001041314,0.0000517584,0.0001114299,0.0001951885,0.00006825005],"domain_scores_gemma":[0.9977501,0.001124095,0.0001730842,0.0002077618,0.0005541668,0.000190876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00279031,0.002315203,0.3556612,0.001159629,0.0005240078,0.002209951,0.004177833,0.103593,0.03362201,0.00854705,0.1348839,0.3505161],"study_design_scores_gemma":[0.0001393578,0.0005410929,0.1761311,0.000214689,0.0002020758,0.0006786549,0.002534407,0.7495811,0.02448762,0.00515974,0.04016855,0.0001617032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8321649,0.001370536,0.05381236,0.003654644,0.0006650591,0.0004410688,0.04247048,0.04343568,0.02198525],"genre_scores_gemma":[0.9120214,0.0005128708,0.05768084,0.0002089599,0.00007858898,0.0001260712,0.02436894,0.0008118066,0.004190474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01256928,"threshold_uncertainty_score":0.02499223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06871721484604115,"score_gpt":0.4430142869905085,"score_spread":0.3742970721444673,"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."}}