{"id":"W4398250805","doi":"10.1007/978-3-031-56208-2_36","title":"Two Approaches for Identifying Epidemiological Parameters Illustrated with COVID-19 Data for Bulgaria","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Computer science; Coronavirus disease 2019 (COVID-19); Epidemiology; Data science; Data mining; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006289064,0.001442786,0.001033627,0.00707177,0.0009438661,0.003944445,0.001666819,0.002159808,0.004486951],"category_scores_gemma":[0.0146416,0.0007492251,0.001331813,0.006323164,0.00168663,0.001951615,0.004319216,0.003136878,0.001091436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002771617,"about_ca_system_score_gemma":0.002103258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0445107,"about_ca_topic_score_gemma":0.06738411,"domain_scores_codex":[0.9973284,0.001579146,0.0001434702,0.0003432466,0.0004064057,0.0001993819],"domain_scores_gemma":[0.9961143,0.002556396,0.000186517,0.0004270395,0.0006151017,0.0001005878],"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":[0.000507383,0.000149851,0.05232551,0.0008740991,0.0004508635,0.001187537,0.003376204,0.07845035,0.003033455,0.2900724,0.03152487,0.5380475],"study_design_scores_gemma":[0.0001848671,0.0003951018,0.08910508,0.001576181,0.0003601011,0.0018793,0.007956312,0.2690981,0.006939082,0.4871932,0.1347971,0.0005155709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05520573,0.01367434,0.8759028,0.007067367,0.0008048351,0.0004807966,0.005736963,0.0008339089,0.04029333],"genre_scores_gemma":[0.2239061,0.004500864,0.7555352,0.000678342,0.0001537912,0.0003245631,0.0036415,0.0001809383,0.01107866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0445107,"threshold_uncertainty_score":0.08850324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5969787640538748,"score_gpt":0.4608703808085081,"score_spread":0.1361083832453668,"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."}}