{"id":"W4224063960","doi":"10.1007/s40840-022-01287-z","title":"Regressive Class Modelling for Predicting Trajectories of COVID-19 Fatalities Using Statistical and Machine Learning Models","year":2022,"lang":"en","type":"article","venue":"Bulletin of the Malaysian Mathematical Sciences Society","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Saint Vincent University; University of New Brunswick; University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Coronavirus disease 2019 (COVID-19); Class (philosophy); Statistical learning; Artificial intelligence; Applied mathematics; Statistics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002669306,0.000810173,0.001081151,0.001645945,0.0004921164,0.001270195,0.001521197,0.00104011,0.001707539],"category_scores_gemma":[0.006237607,0.000375038,0.001344119,0.001068947,0.0003995213,0.001232144,0.0007785373,0.002309392,0.0007401391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109262,"about_ca_system_score_gemma":0.001390608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02597636,"about_ca_topic_score_gemma":0.02131337,"domain_scores_codex":[0.9992962,0.0002037244,0.00006207397,0.0001799889,0.0001233273,0.0001347001],"domain_scores_gemma":[0.9958073,0.002671032,0.0004568715,0.000279906,0.0006548846,0.0001299279],"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":[0.0005604704,0.0004897259,0.05807072,0.00008688091,0.0002393587,0.0001317719,0.0001692256,0.832512,0.001623037,0.005790898,0.002345323,0.0979806],"study_design_scores_gemma":[0.000002215908,0.00001704974,0.001829368,0.000004186488,0.000007957403,0.000008051778,0.00001089869,0.996923,0.0001511078,0.0009491169,0.00009189988,0.000005068796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5694157,0.0008164545,0.4244052,0.0006295674,0.0002861949,0.00009878633,0.001726829,0.00109392,0.001527293],"genre_scores_gemma":[0.973902,0.000234242,0.02133963,0.000034424,0.0000614091,0.0000796779,0.001491662,0.00004489,0.002812004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02597636,"threshold_uncertainty_score":0.05165035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08194529866307697,"score_gpt":0.2895259819851543,"score_spread":0.2075806833220773,"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."}}