{"id":"W4286790137","doi":"10.1002/acr2.11481","title":"Development of a Prediction Model for <scp>COVID</scp>‐19 Acute Respiratory Distress Syndrome in Patients With Rheumatic Diseases: Results From the Global Rheumatology Alliance Registry","year":2022,"lang":"en","type":"article","venue":"ACR Open Rheumatology","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Canadian Arthritis Patient Alliance","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","keywords":"ARDS; Medicine; Internal medicine; Calculator; Confidence interval; Population; Rheumatology; Area under the curve; Intensive care medicine; Machine learning; Emergency medicine; Computer science; Lung","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":[0.008738133,0.0007608859,0.0009490114,0.001924819,0.0002760497,0.001208071,0.0006673927,0.0005161889,0.001072251],"category_scores_gemma":[0.01473673,0.0002494862,0.001182166,0.001031628,0.0001575291,0.0007005479,0.0006412886,0.0009328644,0.0006730542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006528809,"about_ca_system_score_gemma":0.001089512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006450391,"about_ca_topic_score_gemma":0.00410878,"domain_scores_codex":[0.9979411,0.001142575,0.0001828781,0.0003123788,0.0003031363,0.0001179855],"domain_scores_gemma":[0.9930894,0.00406721,0.001012051,0.0003511914,0.00129806,0.0001820975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003033124,0.0002061101,0.9387672,0.00004252147,0.0003244894,0.0001053738,0.00006932677,0.02972295,0.0002777639,0.0001539144,0.002672547,0.0273545],"study_design_scores_gemma":[0.0001383914,0.0005011824,0.2582721,0.0001074575,0.0003775167,0.0002838706,0.0001751398,0.7370349,0.0009855018,0.0006324265,0.001451851,0.00003972305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640942,0.00040205,0.02819957,0.0008295782,0.00007713488,0.000223731,0.004524292,0.0004458244,0.00120365],"genre_scores_gemma":[0.9763956,0.0001457837,0.01834107,0.00007193285,0.00003444296,0.0001697691,0.004508823,0.0000262323,0.0003063589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008738133,"threshold_uncertainty_score":0.0462122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0417241928729757,"score_gpt":0.363105034471332,"score_spread":0.3213808415983563,"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."}}