{"id":"W4385953657","doi":"10.1137/22m1498796","title":"Discrete Inverse Method for Extracting Disease Transmission Rates from Accessible Infection Data","year":2023,"lang":"en","type":"article","venue":"SIAM Journal on Applied Mathematics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Tennessee","keywords":"Transmission (telecommunications); Inverse; Disease transmission; Computer science; Mathematics; Algorithm; Applied mathematics; Statistics; Virology; Medicine; Geometry; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003826404,0.0003783305,0.0007393071,0.0001827814,0.0006487959,0.0001687132,0.0006278256,0.0001525264,0.0001697385],"category_scores_gemma":[0.006999577,0.0002636082,0.000224235,0.0004235874,0.00005317913,0.0002747728,0.0003265915,0.0005714915,0.00009038975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001201242,"about_ca_system_score_gemma":0.00008303414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001017657,"about_ca_topic_score_gemma":0.000009074266,"domain_scores_codex":[0.9972858,0.0001405206,0.001025158,0.0005358061,0.0004939426,0.000518757],"domain_scores_gemma":[0.9847285,0.01329074,0.0007931503,0.0007593728,0.0000831856,0.0003450974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003060397,0.003871756,0.002488105,0.0103525,0.002769673,0.0002867709,0.008405967,0.00849511,0.02773077,0.2494861,0.3843592,0.2986936],"study_design_scores_gemma":[0.0009660418,0.00006354191,0.000545372,0.000400762,0.0003415705,0.000004532205,0.0004181222,0.1335376,0.0008240078,0.8492416,0.01328681,0.0003700313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01900067,0.00005856821,0.9761222,0.00224255,0.0002548122,0.0009304198,0.0001532071,0.0003907708,0.0008468204],"genre_scores_gemma":[0.0256124,0.0008745274,0.9710191,0.0007462589,0.0008686119,0.0001967346,0.0001798599,0.0001451734,0.0003573071],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5997555,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4307071596979587,"score_gpt":0.5177236249377033,"score_spread":0.0870164652397446,"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."}}