{"id":"W4413182194","doi":"10.62940/als.v8i4.1202","title":"Wavelet-based Statistical and Mathematical Analysis of Spread of COVID-19","year":2021,"lang":"en","type":"article","venue":"Advancements in Life Sciences","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Wavelet; Statistical analysis; Virology; Statistics; Computer science; Artificial intelligence; Mathematics; Biology; Medicine; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009848905,0.0003082217,0.0002292515,0.000984196,0.0001487875,0.0006529391,0.0003959132,0.0004550308,0.0007618142],"category_scores_gemma":[0.003305905,0.0001450353,0.000597182,0.0006836868,0.0003392937,0.0008956472,0.0003014869,0.0006829698,0.0001462292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004281986,"about_ca_system_score_gemma":0.0003899059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004813025,"about_ca_topic_score_gemma":0.001864662,"domain_scores_codex":[0.9998164,0.0000551632,0.00001380029,0.00003616187,0.00005485818,0.0000236784],"domain_scores_gemma":[0.9992014,0.0004511318,0.0001631208,0.00003899643,0.0001257671,0.00001969487],"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":[0.0001003768,0.00006231196,0.03345705,0.0001549881,0.0001342047,0.0004122224,0.0002288752,0.8430022,0.009628387,0.04274765,0.001444704,0.06862705],"study_design_scores_gemma":[0.000001473239,0.00001977274,0.005863762,0.000009370063,0.000009681701,0.00006007673,0.00004690231,0.9899183,0.0005214848,0.003173427,0.0003679499,0.000007806033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3905183,0.0008924789,0.6038346,0.0007390369,0.00007590933,0.00002674128,0.000333712,0.0001736995,0.003405588],"genre_scores_gemma":[0.9665726,0.001079972,0.03000409,0.00003733722,0.00004241664,0.00002395485,0.0002991991,0.000026819,0.001913594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004813025,"threshold_uncertainty_score":0.009570003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04959889431783918,"score_gpt":0.3849139657518889,"score_spread":0.3353150714340497,"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."}}