{"id":"W4313546132","doi":"10.1111/ijlh.14016","title":"Defining ferritin clinical decision limits to improve diagnosis and treatment of iron deficiency: A modified Delphi study","year":2023,"lang":"en","type":"article","venue":"International Journal of Laboratory Hematology","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Women's College Hospital; St. Joseph’s Healthcare Hamilton; Hamilton Regional Laboratory Medicine Program; Alberta Medical Association; Toronto East General Hospital; University of Toronto; St. John’s Health Sciences Centre; Ottawa Hospital; Health Sciences Centre; Hamilton Health Sciences; Dalhousie University; Newfoundland and Labrador Centre for Applied Health Research; St. Michael's Hospital; Sunnybrook Health Science Centre; Mount Sinai Hospital; University of Calgary","funders":"","keywords":"Delphi method; Ferritin; Medicine; Likert scale; Iron deficiency; CLARITY; Intensive care medicine; Family medicine; Pediatrics; Psychology; Anemia; Psychiatry; Pathology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006039467,0.0001280703,0.0005549495,0.0004750199,0.00003054454,0.00001340659,0.0001506979,0.00009188564,0.00002149647],"category_scores_gemma":[0.001296196,0.00009980635,0.0001009525,0.0002638089,0.00006852666,0.00007746391,0.00005046711,0.0001111702,0.00001835541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004336409,"about_ca_system_score_gemma":0.0002428445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001568864,"about_ca_topic_score_gemma":0.00003108483,"domain_scores_codex":[0.9981709,0.0001141379,0.0009311595,0.0002009148,0.0004247563,0.0001581229],"domain_scores_gemma":[0.9980684,0.0005857031,0.0003522327,0.0001382403,0.0006814739,0.0001739382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002232216,0.002964033,0.9310712,0.00003744375,0.0001535563,0.001206294,0.002127247,0.0001030964,0.0007006994,0.003728302,0.00115172,0.05452425],"study_design_scores_gemma":[0.02174924,0.0117383,0.9493591,0.0003134156,0.000591715,0.0005901086,0.007526388,0.0002000602,0.004183301,0.0008246131,0.002593284,0.0003304622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956461,0.00188503,0.0001764719,0.0009873541,0.0009533508,0.0002422263,0.00003247842,0.00001417938,0.00006279128],"genre_scores_gemma":[0.9971218,0.001057496,0.001388619,0.0002765266,0.0001088834,0.00001894004,0.000003689436,0.00001411441,0.00001000865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05419379,"threshold_uncertainty_score":0.4069985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04274264502832413,"score_gpt":0.3939643451070646,"score_spread":0.3512217000787405,"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."}}