{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007545498,0.0007772659,0.001057632,0.003845955,0.001550817,0.004627695,0.001370778,0.001976611,0.002906341],"category_scores_gemma":[0.03356222,0.000514288,0.001805028,0.001946941,0.0117222,0.007982249,0.003250581,0.004319564,0.0006198951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003359965,"about_ca_system_score_gemma":0.002152419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003038962,"about_ca_topic_score_gemma":0.0009453024,"domain_scores_codex":[0.9962977,0.001822426,0.0002308266,0.0004978782,0.0009512891,0.0001998745],"domain_scores_gemma":[0.9632106,0.02902359,0.002186578,0.00237631,0.002579427,0.0006234884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001415319,0.00000370741,0.0001416071,0.00002834972,0.000007214973,0.00001290858,0.00007234103,0.001858112,0.00003445076,0.9953812,0.0005014857,0.00195724],"study_design_scores_gemma":[0.00000244549,0.000003413099,0.00009503112,0.00001556725,0.000002744904,0.0000200131,0.00001891772,0.006437331,0.0000197793,0.9910725,0.002306468,0.000005913446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01857821,0.01016751,0.8864313,0.03048774,0.0007195767,0.00008320605,0.0005918109,0.0002104657,0.05273011],"genre_scores_gemma":[0.7322587,0.01388271,0.2371556,0.00449975,0.003955339,0.0004956697,0.0005380413,0.0001317446,0.007082466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007545498,"threshold_uncertainty_score":0.03990489,"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."}}