{"id":"W3204720196","doi":"10.1109/ijcnn52387.2021.9534188","title":"Predictive Analytics of COVID-19 with Neural Networks","year":2021,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Autoencoder; Computer science; Predictive analytics; Coronavirus disease 2019 (COVID-19); Analytics; Artificial neural network; Artificial intelligence; Machine learning; Data analysis; Identification (biology); Test data; Predictive modelling; Data mining; Disease; Medicine; Infectious disease (medical specialty); Pathology","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":[0.001187284,0.001433792,0.0009280545,0.001476945,0.0003955629,0.000968159,0.0009601013,0.0007481509,0.0008164129],"category_scores_gemma":[0.004558316,0.0003573559,0.000751989,0.001185612,0.0003771646,0.001184793,0.001149225,0.001606617,0.0004359833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000869833,"about_ca_system_score_gemma":0.000710753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0138733,"about_ca_topic_score_gemma":0.01155617,"domain_scores_codex":[0.9992927,0.0001195522,0.00006522419,0.0002424845,0.0001871384,0.00009281692],"domain_scores_gemma":[0.998326,0.0009275601,0.0001896766,0.0001510577,0.000345273,0.00006036753],"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":[0.0002841419,0.0002477829,0.01076994,0.0001192468,0.000153005,0.0002892258,0.0000807269,0.7561998,0.003897988,0.001892649,0.004351004,0.2217144],"study_design_scores_gemma":[0.000001843868,0.0000130225,0.0004355586,0.000004491942,0.00000535677,0.00001357323,0.000006798795,0.9974403,0.0005624876,0.001312326,0.0002004843,0.000003618811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1321261,0.002766187,0.8519717,0.001383942,0.0002586412,0.0001502935,0.001822147,0.005915764,0.003605225],"genre_scores_gemma":[0.8720331,0.001052968,0.1199043,0.0003711628,0.0002101873,0.0001053849,0.003846055,0.0001023122,0.002374378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0138733,"threshold_uncertainty_score":0.02758509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0334134027927777,"score_gpt":0.3260311216895456,"score_spread":0.2926177188967679,"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."}}