{"id":"W4283383474","doi":"10.36227/techrxiv.19526035.v1","title":"Identifying Severity of Covid-19 and Pneumonia from Chest X-rays","year":2022,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Lakehead University","keywords":"Pneumonia; Medicine; Coronavirus disease 2019 (COVID-19); Intensive care medicine; Disease; Infectious disease (medical specialty); Coronavirus; Lung; Diabetes mellitus; Respiratory system; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Immunology; Pathology; Internal medicine","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":[0.0006821959,0.0005842575,0.0004951065,0.003046851,0.0002524234,0.00141554,0.0003161471,0.0006587608,0.005580444],"category_scores_gemma":[0.002630227,0.0002627153,0.0004466278,0.0007875173,0.0001974735,0.0004982048,0.0007010935,0.0003894264,0.002664873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002527702,"about_ca_system_score_gemma":0.0002900187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001132518,"about_ca_topic_score_gemma":0.001221726,"domain_scores_codex":[0.9991729,0.0001009787,0.00007957093,0.0002146505,0.0003302011,0.0001017094],"domain_scores_gemma":[0.999143,0.0002392049,0.0001111881,0.0001065962,0.0003079726,0.0000918943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001198572,0.0003157383,0.4071362,0.000788278,0.0001807525,0.001856081,0.0006923998,0.002868486,0.1625161,0.001587778,0.01267637,0.4081832],"study_design_scores_gemma":[0.00007228003,0.0004774688,0.7095121,0.0001669531,0.0001895611,0.007841566,0.0008709478,0.07592647,0.1748124,0.003316168,0.02669475,0.0001193221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7437816,0.005131835,0.2015754,0.0009113804,0.0004789615,0.0008515188,0.01153931,0.01132399,0.02440589],"genre_scores_gemma":[0.8232445,0.001991351,0.1500252,0.0002494996,0.0003063871,0.0002102434,0.009700388,0.0003742366,0.01389827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005580444,"threshold_uncertainty_score":0.01866847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07998397343521117,"score_gpt":0.3708094296115022,"score_spread":0.290825456176291,"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."}}