{"id":"W4410243836","doi":"10.1016/j.esmorw.2025.100141","title":"Development and validation of a clinical prediction model for hospitalization after emergency department admission in patients with cancer","year":2025,"lang":"en","type":"article","venue":"ESMO Real World Data and Digital Oncology","topic":"Neutropenia and Cancer Infections","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research; EMD Serono; Genentech; National Institutes of Health; King's College London; Castle Biosciences; Siemens Healthineers; Moderna; Amgen; Cardinal Health; Astellas Pharma; Elekta; Sanofi; University of Texas MD Anderson Cancer Center; Pfizer; Sun Pharma; Regeneron Pharmaceuticals; Cancer Research Society; CVS Health; Bristol-Myers Squibb","keywords":"Emergency department; Medicine; Emergency medicine; Medical emergency; Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00864285,0.0009577587,0.0009419956,0.001849512,0.0004324375,0.001534784,0.001344179,0.0008302393,0.001184674],"category_scores_gemma":[0.01965885,0.0004878638,0.001112169,0.00102852,0.0003233976,0.0007419671,0.001040473,0.001530842,0.0004245154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276308,"about_ca_system_score_gemma":0.002766972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01522951,"about_ca_topic_score_gemma":0.009539407,"domain_scores_codex":[0.9982268,0.0009620257,0.0001552573,0.0003356865,0.0001834733,0.0001366298],"domain_scores_gemma":[0.9887488,0.007913444,0.0008947921,0.0004017142,0.001690661,0.000350568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008639861,0.001270378,0.7451797,0.00007603198,0.0004423689,0.0003408575,0.0002424465,0.1892059,0.0005257012,0.0005128693,0.00380449,0.05753523],"study_design_scores_gemma":[0.0000582969,0.0002415277,0.04820285,0.0000382729,0.00008278323,0.00008450386,0.00008123061,0.9500718,0.0002763391,0.00043099,0.0004141021,0.00001728461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590328,0.0002567336,0.03608197,0.0008315696,0.00009855625,0.0003749804,0.001614249,0.0004000659,0.001309039],"genre_scores_gemma":[0.9811705,0.00009761099,0.01588076,0.00007243243,0.00003024958,0.0002628674,0.002093936,0.00001970271,0.0003719398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01522951,"threshold_uncertainty_score":0.0457083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0463243830767198,"score_gpt":0.3908577386034636,"score_spread":0.3445333555267438,"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."}}