{"id":"W4362576725","doi":"10.22215/etd/2022-15431","title":"A Theoretical Analysis of the COVID-19 Pandemic using a Public Database","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Percentile; Confidence interval; Coronavirus disease 2019 (COVID-19); Death toll; Incubation period; Pandemic; Statistics; Database; Computer science; Medicine; Mathematics; Incubation; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00832693,0.0005204086,0.0007659807,0.002797762,0.0007763647,0.0022148,0.002119868,0.001359319,0.005102865],"category_scores_gemma":[0.03050811,0.0004882007,0.00109268,0.002657544,0.0007583018,0.003902747,0.00130111,0.001201197,0.0004736434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003758155,"about_ca_system_score_gemma":0.001685311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01319471,"about_ca_topic_score_gemma":0.005618331,"domain_scores_codex":[0.9976606,0.0009129366,0.0001110596,0.0005103329,0.0005847856,0.0002202123],"domain_scores_gemma":[0.9722686,0.0220091,0.001481829,0.001811016,0.002140646,0.0002888965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007183568,0.000460223,0.08826967,0.0006072902,0.0002060732,0.0006980688,0.0005799221,0.6662764,0.001386796,0.1650937,0.01236232,0.06334105],"study_design_scores_gemma":[0.00002150948,0.00008383745,0.008007417,0.00005098454,0.00003832148,0.0001836908,0.0002935377,0.9718049,0.0004991183,0.01691996,0.002075522,0.00002133058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8166259,0.002605246,0.145114,0.005293519,0.0001246933,0.0004059886,0.01503722,0.0005768584,0.01421659],"genre_scores_gemma":[0.9653192,0.001221863,0.02439109,0.0001870422,0.0000651865,0.0002345319,0.007134099,0.00004268415,0.001404543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01319471,"threshold_uncertainty_score":0.04403758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4605938566449888,"score_gpt":0.5142637958769521,"score_spread":0.05366993923196334,"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."}}