{"id":"W4401732974","doi":"10.1145/3670085.3670088","title":"COVIDTran: an automated COVID-19 diagnosis system via Context Transfer Transformer","year":2024,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Computer science; Transformer; Context (archaeology); Engineering; Electrical engineering; Medicine; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006820949,0.0005187594,0.0008068687,0.0005271864,0.0002132714,0.0002018717,0.0002421472,0.0003650856,0.00287818],"category_scores_gemma":[0.0001268215,0.0004262346,0.0004361739,0.0009181855,0.0001913728,0.0004130442,0.00001044665,0.0004168983,0.0007479036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183068,"about_ca_system_score_gemma":0.001138187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002943852,"about_ca_topic_score_gemma":0.000921644,"domain_scores_codex":[0.9966435,0.0001808029,0.000770321,0.001017952,0.0006971553,0.000690293],"domain_scores_gemma":[0.9969095,0.001012988,0.00002178935,0.0006696196,0.0001276016,0.001258489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002223893,0.004527763,0.01257789,0.0479228,0.003511867,0.01035501,0.03006238,0.001115524,0.04299027,0.03201637,0.6469063,0.16579],"study_design_scores_gemma":[0.00454999,0.001168876,0.001085146,0.001504965,0.001337816,0.0007288833,0.001375331,0.07941803,0.01940017,0.00004333907,0.8885012,0.0008862667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2856286,0.009937825,0.2093618,0.4263145,0.003945275,0.008215377,0.0006233044,0.05064297,0.005330414],"genre_scores_gemma":[0.9328336,0.0002150053,0.0002324695,0.06512035,0.0002544505,0.0005491049,0.0001281692,0.0001472207,0.0005195951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6472051,"threshold_uncertainty_score":0.9998189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03984988829096479,"score_gpt":0.3562838609781387,"score_spread":0.3164339726871739,"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."}}