{"id":"W4282925308","doi":"10.1148/radiol.221098","title":"Step on the <sup>129</sup>Xe Gas: The MRI Race to Uncover Drivers of Post-COVID-19 Symptoms","year":2022,"lang":"en","type":"letter","venue":"Radiology","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Race (biology); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Nuclear medicine; Virology; Pathology; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001472551,0.0007871967,0.001536284,0.0005366726,0.000349526,0.00003066101,0.001775956,0.001054259,0.003383965],"category_scores_gemma":[0.004621906,0.0004610684,0.00066811,0.0005201608,0.0007551328,0.00005833774,0.0005378931,0.003688579,0.0004324804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001422417,"about_ca_system_score_gemma":0.001644932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004965585,"about_ca_topic_score_gemma":0.00002014949,"domain_scores_codex":[0.9939024,0.002213732,0.0007054868,0.001148143,0.00100186,0.00102832],"domain_scores_gemma":[0.9826589,0.01371438,0.0004912231,0.0026542,0.000148081,0.0003332644],"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":[0.0009720527,0.00005920131,0.001890039,0.0005570279,0.0008576218,0.001777939,0.002051212,0.003237024,0.000171407,0.000585272,0.9875299,0.0003112678],"study_design_scores_gemma":[0.001962234,0.003340879,0.0006795865,0.0001385816,0.0005642091,0.0008969109,0.0003070632,0.0002096019,0.00003575871,0.0001826075,0.9912271,0.0004554477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0602549,0.0004389669,0.0002296922,0.9319174,0.001017191,0.003642788,0.0003190097,0.0001547339,0.002025276],"genre_scores_gemma":[0.01448387,0.0001364385,0.0001120528,0.9751428,0.00331653,0.0004023076,0.0005911621,0.0001660735,0.00564879],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04577103,"threshold_uncertainty_score":0.9997841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110827913879174,"score_gpt":0.2735614216217205,"score_spread":0.2624786302338031,"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."}}