{"id":"W4416142184","doi":"10.2196/preprints.87347","title":"Identifying Hemophagocytic Lymphohistiocytosis using Electronic Health Records and Describing the Impact of Treatment on Outcomes (Preprint)","year":2025,"lang":"","type":"article","venue":"","topic":"Autoimmune and Inflammatory Disorders Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hemophagocytic lymphohistiocytosis; Cohort; Health records; Sick child; Electronic health record; Electronic records; Medical record","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004313015,0.0001737461,0.0004525776,0.003128047,0.000327679,0.001981521,0.0003722622,0.0004089331,0.02402933],"category_scores_gemma":[0.04815433,0.0001280669,0.0006268301,0.006754174,0.0002011023,0.001454994,0.0007032667,0.0006248296,0.004162999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007575139,"about_ca_system_score_gemma":0.001614613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004564733,"about_ca_topic_score_gemma":0.004896232,"domain_scores_codex":[0.9960603,0.00128987,0.0009352948,0.0002387196,0.001302825,0.0001729955],"domain_scores_gemma":[0.9538193,0.02973949,0.00908447,0.001480847,0.005067671,0.0008082337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006910444,0.0002931346,0.3947153,0.004083819,0.0003816031,0.0002062509,0.0008123704,0.0003540947,0.0002154695,0.001424147,0.2656264,0.3311964],"study_design_scores_gemma":[0.0002114638,0.0003349947,0.8919442,0.007678277,0.0004460835,0.0004679509,0.002003815,0.0009638385,0.0008281851,0.001753389,0.09329897,0.00006879328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4170081,0.02657665,0.005238667,0.04856906,0.005579715,0.002345794,0.3898129,0.001070249,0.1037988],"genre_scores_gemma":[0.7771513,0.03293873,0.01535411,0.006991837,0.005489798,0.001960428,0.1404483,0.0003734163,0.01929199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02402933,"threshold_uncertainty_score":0.08038616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09574305181696216,"score_gpt":0.3958970672557519,"score_spread":0.3001540154387897,"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."}}