{"id":"W2508622627","doi":"10.7717/peerj.2337","title":"Evaluation of outbreak response immunization in the control of pertussis using agent-based modeling","year":2016,"lang":"en","type":"article","venue":"PeerJ","topic":"Bacterial Infections and Vaccines","field":"Immunology and Microbiology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Alberta","funders":"","keywords":"Outbreak; Immunization; Vaccination; Medicine; Herd immunity; Transmission (telecommunications); Cumulative incidence; Environmental health; Immunology; Virology; Cohort; Antibody; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002125603,0.00004876604,0.0001155051,0.00009580194,0.00004197763,0.000002595543,0.00006673064,0.00006860364,0.0001932791],"category_scores_gemma":[0.0005176642,0.0000273112,0.00004026684,0.00009610213,0.00002820887,0.00004714166,0.000007896024,0.00003187096,0.000003878517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003257161,"about_ca_system_score_gemma":0.00007857508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003822128,"about_ca_topic_score_gemma":0.00003739932,"domain_scores_codex":[0.9987114,0.0009076751,0.0002099402,0.00006785471,0.00002992532,0.00007318205],"domain_scores_gemma":[0.9992319,0.0002167635,0.00009285608,0.0001575162,0.0002984996,0.000002508918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004329188,0.00006203691,0.00260383,0.000003051713,0.00002531282,2.209351e-8,0.0002177246,0.004202785,0.9878194,0.00004675058,0.000007173717,0.00457899],"study_design_scores_gemma":[0.02136026,0.0005495683,0.166481,0.0003885279,0.0009146333,0.00002262831,0.001128506,0.2861981,0.5210443,0.0005950625,0.0009586778,0.0003587055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842178,0.0002713378,0.01474554,0.0004055222,0.0001627927,0.0001513978,0.00001842172,0.000005554112,0.00002163565],"genre_scores_gemma":[0.9999056,0.000005112224,0.00002606322,0.00001650012,0.000008291234,0.000009041222,0.000007639726,0.000004032644,0.00001772902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4667751,"threshold_uncertainty_score":0.2116271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06071085461645147,"score_gpt":0.3090950799739233,"score_spread":0.2483842253574718,"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."}}