{"id":"W4283394174","doi":"10.36227/techrxiv.19526035","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; Coronavirus; Lung; Infectious disease (medical specialty); Respiratory system; Diabetes mellitus; 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":[0.0006040792,0.0005400443,0.000514514,0.003687366,0.0002293494,0.001372047,0.000280091,0.0006347815,0.005537052],"category_scores_gemma":[0.002318241,0.0002822304,0.0004978238,0.0008354464,0.0001839532,0.0004742621,0.0006843324,0.0004009733,0.002527716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002361428,"about_ca_system_score_gemma":0.0002495942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001358764,"about_ca_topic_score_gemma":0.001602622,"domain_scores_codex":[0.9992521,0.00009445177,0.00008893585,0.0001883073,0.0002772821,0.00009879051],"domain_scores_gemma":[0.9991761,0.0002164678,0.0001243668,0.00009095162,0.0002899191,0.000102246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00105137,0.0002358385,0.6197547,0.0006013672,0.0001635326,0.00193914,0.0005329766,0.001260225,0.1109886,0.0006895211,0.0077483,0.2550345],"study_design_scores_gemma":[0.00004696664,0.0003898336,0.8749833,0.0001418105,0.0001682307,0.007934825,0.0006602241,0.02113748,0.07970764,0.001186619,0.01356702,0.0000761689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8662191,0.006046834,0.08718439,0.000722695,0.000370508,0.0008039292,0.01102023,0.005358958,0.02227329],"genre_scores_gemma":[0.8983251,0.002693621,0.07880213,0.0002449123,0.0002858791,0.0001940596,0.008744852,0.0002258925,0.0104836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005537052,"threshold_uncertainty_score":0.01852334,"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."}}