{"id":"W4290480210","doi":"10.11648/j.ijiis.20221102.11","title":"Survey of COVID-19 Prediction Models and Their Limitations","year":2022,"lang":"en","type":"article","venue":"International Journal of Intelligent Information Systems","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Quarantine; Globe; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; Outbreak; Data science; Business; Geography; Psychology; Medicine; Disease; Virology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001877915,0.0001064406,0.0002694092,0.0008474308,0.00008990797,0.00006743257,0.0002287455,0.00004150658,0.00005413911],"category_scores_gemma":[0.001392125,0.0000910984,0.0001046271,0.0002490775,0.00004587256,0.0007775655,0.00009436641,0.0002255665,0.000004047501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006687731,"about_ca_system_score_gemma":0.0006656119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005551079,"about_ca_topic_score_gemma":0.00001001297,"domain_scores_codex":[0.9974644,0.0001809957,0.001300828,0.00007187298,0.0008924285,0.00008950703],"domain_scores_gemma":[0.9957864,0.0007951195,0.001147247,0.000124414,0.001985021,0.0001618071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001274239,0.000447735,0.01940058,0.0003098923,0.001005437,0.00001631192,0.02168074,0.9044333,0.000274268,0.004928772,0.03170374,0.01452499],"study_design_scores_gemma":[0.003672989,0.001521305,0.01610622,0.0004842451,0.0001284604,0.003062025,0.02164602,0.4218074,0.001020144,0.0006266867,0.529626,0.0002984697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2500233,0.002490005,0.7142326,0.02041502,0.008151064,0.001359373,0.002023297,0.00009302689,0.001212362],"genre_scores_gemma":[0.9962622,0.0004143959,0.00009245954,0.002865447,0.00009162395,0.00002080939,0.0002042054,0.000007965858,0.00004092426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7462389,"threshold_uncertainty_score":0.3714885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1370918917521428,"score_gpt":0.3502439742278773,"score_spread":0.2131520824757345,"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."}}