{"id":"W4205294733","doi":"10.3934/mbe.2022064","title":"Discrete epidemic modelling of COVID-19 transmission in Shaanxi Province with media reporting and imported cases","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Contact tracing; Outbreak; Coronavirus disease 2019 (COVID-19); China; Social distance; Transmission (telecommunications); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental health; Geography; Medicine; Socioeconomics; Business; Computer science; Economics; Virology; Telecommunications; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002628967,0.0002416478,0.0008027533,0.0001103746,0.00008918645,0.00002570265,0.0001721927,0.00009433266,0.00002829089],"category_scores_gemma":[0.03503847,0.0001589596,0.00007489762,0.0005714192,0.0002368866,0.0001377261,0.0001363682,0.0002154998,4.813678e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000849806,"about_ca_system_score_gemma":0.0001760413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006022055,"about_ca_topic_score_gemma":0.00004362474,"domain_scores_codex":[0.9971312,0.00007339747,0.001450099,0.0005218844,0.0003891978,0.0004342475],"domain_scores_gemma":[0.9917082,0.007217109,0.0005132721,0.0002532317,0.00005039002,0.000257854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002350694,0.001207044,0.07943264,0.02579542,0.0002834756,0.005194767,0.02098984,0.3374921,0.07788005,0.4449866,0.0001358086,0.006367206],"study_design_scores_gemma":[0.0004745215,0.0001290463,0.001187696,0.001414348,0.00008522706,0.0003475258,0.001207875,0.8694037,0.005223284,0.1198175,0.0001513452,0.0005578863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.486132,0.000440922,0.5122137,0.0008529199,0.00001672346,0.000201046,0.000004199045,0.00008421915,0.00005427081],"genre_scores_gemma":[0.8443854,0.00008998851,0.1553918,0.00006929971,0.00001406934,0.00002152294,0.00000135656,0.00001448476,0.0000120663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5319116,"threshold_uncertainty_score":0.9730898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2470536865616891,"score_gpt":0.3873714834020405,"score_spread":0.1403177968403514,"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."}}