{"id":"W2056150545","doi":"10.1067/mlc.2002.124552","title":"A nomogram to predict C282Y hemochromatosis","year":2002,"lang":"en","type":"article","venue":"Journal of Laboratory and Clinical Medicine","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Nomogram; Transferrin saturation; Hemochromatosis; Confidence interval; Bayes' theorem; Medicine; Hereditary hemochromatosis; Internal medicine; Ferritin; Population; Genotyping; Serum ferritin; Gastroenterology; Statistics; Bayesian probability; Genotype; Mathematics; Genetics; Biology; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001263883,0.000155864,0.0008095038,0.0001786566,0.00005323219,0.000009254156,0.0001083128,0.0001432786,0.0009236163],"category_scores_gemma":[0.002473916,0.0001000324,0.0001247962,0.0004309234,0.0002782513,0.0001058803,0.00002751608,0.0004672002,0.00003437284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001277762,"about_ca_system_score_gemma":0.00006560044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002541783,"about_ca_topic_score_gemma":0.000001459979,"domain_scores_codex":[0.9978963,0.0001235323,0.001130386,0.0001805712,0.0004586375,0.0002105849],"domain_scores_gemma":[0.9978833,0.0003171793,0.0003134415,0.0002221968,0.0003900707,0.0008737996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001825176,0.002500108,0.4216905,0.0004632585,0.0004027206,0.001175996,0.0015048,0.000001945195,0.003711477,0.0004975991,0.4056968,0.1605296],"study_design_scores_gemma":[0.02592886,0.01884029,0.4012047,0.001690214,0.002415075,0.0008997048,0.002259624,0.0001037587,0.0004202904,0.0002736449,0.5454942,0.0004696269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684175,0.008293891,0.0001674487,0.01943573,0.001102451,0.0001901616,0.000006523421,0.00002306461,0.00236319],"genre_scores_gemma":[0.9780717,0.004161092,0.001407124,0.01367116,0.002307285,0.000002140265,0.000001128258,0.00002101693,0.0003572964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.16006,"threshold_uncertainty_score":0.9999897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03097880430103092,"score_gpt":0.3442453056581409,"score_spread":0.31326650135711,"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."}}