{"id":"W3088947319","doi":"10.1109/iccicc50026.2020.9450250","title":"The Cognitive and Mathematical Foundations of Analytic Epidemiology","year":2020,"lang":"en","type":"article","venue":"","topic":"Fractal and DNA sequence analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto; Defence Research and Development Canada; Ontario Brain Institute; University of Calgary","funders":"","keywords":"Epidemiology; Big data; Pandemic; Computer science; Data science; Coronavirus disease 2019 (COVID-19); Management science; Medicine; Disease; Data mining; 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":[],"consensus_categories":[],"category_scores_codex":[0.00012862,0.0000416509,0.00009719478,0.000005809048,0.00004839332,0.000003926979,0.00004969034,0.0000331517,0.00004060629],"category_scores_gemma":[0.001138619,0.00002451948,0.0000478515,0.00005316209,0.0001936868,0.000001253211,0.0000437991,0.00002646952,0.00001130054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.049603e-7,"about_ca_system_score_gemma":0.00001439822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007565566,"about_ca_topic_score_gemma":0.00001055574,"domain_scores_codex":[0.9996077,0.00004132034,0.0001407836,0.0001092676,0.00002694167,0.00007391869],"domain_scores_gemma":[0.9996371,0.0001646471,0.00004279294,0.00006575319,0.00004302412,0.00004671937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005683575,0.0002481006,0.09072944,0.000200828,0.002280603,0.000007876693,0.0007349786,0.0001128093,0.6305619,0.1994362,0.008242087,0.06687684],"study_design_scores_gemma":[0.004307188,0.005877298,0.06532349,0.0001203218,0.002227469,0.0001281057,0.01467299,0.08978644,0.5227674,0.2254667,0.0673586,0.001964038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.924022,0.0009860632,0.05287873,0.01079634,0.00001210595,0.0001157171,0.000009474421,0.000007047633,0.01117258],"genre_scores_gemma":[0.9981297,0.000185558,0.0004111443,0.0009654901,0.00002974833,0.000003598731,0.00001603646,0.00000235673,0.0002563673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1077945,"threshold_uncertainty_score":0.1363115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04324739464212494,"score_gpt":0.321783430701655,"score_spread":0.2785360360595301,"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."}}