{"id":"W4367604149","doi":"10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a3310","title":"Association of Pre-pandemic CT Interstitial Lung Abnormalities and High Attenuation Areas With COVID-19 Hospitalization: The C4R Study","year":2023,"lang":"en","type":"article","venue":"","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Attenuation; Medicine; Lung; Association (psychology); Pathology; Internal medicine; Physics; Outbreak; Psychology; Disease; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007992099,0.0005944208,0.0004398985,0.0008687969,0.0007520879,0.0009975276,0.001089346,0.00124366,0.003305874],"category_scores_gemma":[0.003196154,0.0004999671,0.0008627562,0.001030465,0.0008073378,0.0009397675,0.001099935,0.001482087,0.0004312125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004931164,"about_ca_system_score_gemma":0.0006603002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412489,"about_ca_topic_score_gemma":0.01263621,"domain_scores_codex":[0.9993889,0.0001160254,0.00005954843,0.0001669521,0.0001024686,0.0001659956],"domain_scores_gemma":[0.9977047,0.0002542291,0.000929613,0.0003620174,0.0002719651,0.0004774976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001954238,0.0000352792,0.9984987,0.000006100762,0.00008163431,0.0001894113,0.00004789295,0.00003638881,0.0002793751,0.00002899728,0.0001330409,0.0004677535],"study_design_scores_gemma":[0.00001035073,0.0001294219,0.9980116,0.000008038615,0.00005686964,0.0008459128,0.0003905793,0.0001823715,0.00007285039,0.00003845498,0.0002433133,0.00001023925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982967,0.0001121613,0.00006750536,0.00007921554,0.000009132494,0.00001247762,0.0003975714,0.00000304531,0.001022184],"genre_scores_gemma":[0.9991421,0.00005747556,0.00006847677,0.00004438145,0.00001760154,0.000006294274,0.0004413334,0.000003995725,0.0002183192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01412489,"threshold_uncertainty_score":0.02808535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085907750622536,"score_gpt":0.3031057685881096,"score_spread":0.2922466910818842,"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."}}