{"id":"W4309754840","doi":"10.18280/rces.090302","title":"A Review of COVID-19 Detection, Prevention, and Cure Techniques","year":2022,"lang":"en","type":"review","venue":"Review of Computer Engineering Studies","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Battle; Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Outbreak; Computer science; Data science; Risk analysis (engineering); Infectious disease (medical specialty); Business; Medicine; Geography; Virology; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001080633,0.000951677,0.001526217,0.004761442,0.0004347911,0.001390971,0.001092012,0.001187074,0.0054356],"category_scores_gemma":[0.002683329,0.0004695448,0.001310329,0.003930554,0.0004909124,0.001884715,0.0006216411,0.001348212,0.001908024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007455191,"about_ca_system_score_gemma":0.002046917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002173619,"about_ca_topic_score_gemma":0.00291407,"domain_scores_codex":[0.9994482,0.0001066259,0.000141373,0.00009150893,0.0001797461,0.00003235741],"domain_scores_gemma":[0.9982053,0.001189977,0.0002064665,0.00003504925,0.0003073193,0.00005589116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009129653,0.000100363,0.0004944801,0.08237402,0.0002386552,0.0002562991,0.0001564068,0.0004430457,0.001253314,0.003631179,0.02711155,0.8838493],"study_design_scores_gemma":[0.00001552112,0.0001974652,0.001620044,0.02575978,0.000560218,0.001559755,0.0001651138,0.0001931584,0.0006895046,0.002196512,0.9669981,0.00004481605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001013524,0.9984504,0.0001789388,0.0002692219,0.0001376491,0.000008943953,0.00003375413,0.000006913447,0.0008127672],"genre_scores_gemma":[0.0005454549,0.9985532,0.00033938,0.0001594831,0.000135991,0.000008596485,0.0000383129,0.000001573511,0.0002180574],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0054356,"threshold_uncertainty_score":0.01818383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06814652706463471,"score_gpt":0.4163811220006702,"score_spread":0.3482345949360355,"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."}}