{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001165836,0.000516769,0.0008759964,0.00134401,0.0002690466,0.0009556336,0.001048774,0.0008585267,0.002056507],"category_scores_gemma":[0.006017849,0.0004752591,0.001081167,0.0009851523,0.0006322523,0.0007978556,0.0008813508,0.00165382,0.001120514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002696961,"about_ca_system_score_gemma":0.001063784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003524576,"about_ca_topic_score_gemma":0.003066393,"domain_scores_codex":[0.9994763,0.0001767357,0.00003648024,0.00009377307,0.0001808479,0.00003591973],"domain_scores_gemma":[0.9980195,0.001432008,0.0001148904,0.0002123657,0.0001755692,0.00004565266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003805947,0.0002831314,0.004659834,0.000531572,0.0002492215,0.0003311761,0.0003130726,0.2990879,0.02400116,0.04854492,0.004622633,0.6169947],"study_design_scores_gemma":[0.0000197814,0.00003836105,0.0008370963,0.00001618918,0.00002121729,0.0001253653,0.0000330932,0.9755014,0.003325227,0.0180216,0.002041073,0.00001950535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005335447,0.00011428,0.9937518,0.00006476803,0.0000278486,0.00002432255,0.0001413356,0.000241494,0.0002987088],"genre_scores_gemma":[0.2027689,0.0005802896,0.7907614,0.0001012111,0.000141762,0.0002541518,0.001258795,0.0001537185,0.003979834],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003524576,"threshold_uncertainty_score":0.007008135,"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."}}