{"id":"W4285669435","doi":"10.21203/rs.3.rs-16529/v2","title":"Estimating the Nationwide Transmission Risk of Measles in US Schools and Impacts of Vaccination and Supplemental Infection Control Strategies","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Measles; Transmission (telecommunications); Vaccination; Medicine; Environmental health; Infection control; Control (management); Virology; Computer science; Telecommunications; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001583391,0.0005186946,0.0002920074,0.0007353107,0.0002346418,0.0005060828,0.0006200065,0.0007093725,0.0006439583],"category_scores_gemma":[0.004940477,0.0003786063,0.0008768055,0.0003498066,0.0002247714,0.0006533988,0.0005156216,0.0005213497,0.00007814985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380079,"about_ca_system_score_gemma":0.001130097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03177257,"about_ca_topic_score_gemma":0.01790348,"domain_scores_codex":[0.9994093,0.0003268054,0.00003144924,0.0001011215,0.00006880568,0.00006243124],"domain_scores_gemma":[0.9975508,0.001692904,0.000389371,0.0001064977,0.0001886949,0.00007177978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001224641,0.0001856019,0.1265521,0.00003249861,0.0002135499,0.00006905639,0.0000306307,0.8654092,0.000715563,0.0005347001,0.0001438688,0.005990787],"study_design_scores_gemma":[0.00001946347,0.0002299482,0.02148858,0.00000902974,0.0000701612,0.00002976458,0.00006588132,0.9769127,0.0005940387,0.0004833944,0.0000881809,0.000008841048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886242,0.0000575065,0.01047701,0.00006976507,0.000002368121,0.00003516797,0.0002030975,0.00004256149,0.0004883289],"genre_scores_gemma":[0.9958377,0.00003465717,0.00379083,0.000009604722,0.000001235105,0.00001875244,0.0001975666,0.000002505752,0.0001072422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03177257,"threshold_uncertainty_score":0.06317526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2138882672487722,"score_gpt":0.5049965587187869,"score_spread":0.2911082914700147,"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."}}