{"id":"W4401402127","doi":"10.21203/rs.3.rs-4736148/v1","title":"Analyzing COVID-19 Trends in Canada, Mexico, and the Netherlands Using the Harris Extended Inverted Kumaraswamy Distribution","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quantile; Lomax distribution; Order statistic; Mathematics; Generalization; Applied mathematics; Heavy-tailed distribution; Distribution (mathematics); Entropy (arrow of time); Quantile function; Statistics; Computer science; Probability distribution; Statistical physics; Moment-generating function; Pareto distribution; Physics; Mathematical analysis","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":[0.000889231,0.0001217,0.0002498087,0.001962319,0.0005700453,0.001158533,0.0006226502,0.000271868,0.001502505],"category_scores_gemma":[0.00532147,0.00010811,0.0002401361,0.004350927,0.0002721256,0.0006387892,0.0003837474,0.0004361703,0.000142803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003584844,"about_ca_system_score_gemma":0.003857194,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8728778,"about_ca_topic_score_gemma":0.8860665,"domain_scores_codex":[0.9996495,0.00005026121,0.00001860305,0.00008423705,0.00008901356,0.0001083599],"domain_scores_gemma":[0.9980801,0.0004104239,0.0003209743,0.00011395,0.0009245774,0.0001498453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001363899,0.00003579726,0.9309435,0.00004186537,0.0001327875,0.0002877325,0.0007744115,0.01785126,0.0005572531,0.008595518,0.005322366,0.03532115],"study_design_scores_gemma":[0.000009916923,0.0000275714,0.8925794,0.00003174826,0.00005788162,0.00008211337,0.002592443,0.0934503,0.0006466276,0.00178225,0.008713944,0.00002583088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879839,0.0004021311,0.003150505,0.0003532784,0.00001373737,0.00001347935,0.005452459,0.00004455536,0.002585759],"genre_scores_gemma":[0.9931533,0.0001806991,0.001464438,0.00001609229,0.000006028994,0.000007714473,0.003801496,0.00001526247,0.001354989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1271222,"threshold_uncertainty_score":0.2557416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1840994129573685,"score_gpt":0.4781450025870616,"score_spread":0.2940455896296932,"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."}}