{"id":"W1969190124","doi":"10.1097/gim.0b013e3181571f31","title":"Health-related quality of life in a racially diverse population screened for hemochromatosis: results from the Hemochromatosis and Iron Overload Screening (HEIRS) study","year":2007,"lang":"en","type":"article","venue":"Genetics in Medicine","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"National Center for Research Resources; National Heart, Lung, and Blood Institute","keywords":"Worry; Hemochromatosis; Transferrin saturation; Genotype; Medicine; Population; Quality of life (healthcare); Hereditary hemochromatosis; Race and health; Ferritin; Internal medicine; Genetics; Health equity; Gerontology; Biology; Psychiatry; Gene; Pathology; Public health; Serum ferritin; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007270357,0.0005025766,0.0007070777,0.0006939525,0.001096353,0.0008748081,0.0004300477,0.0008626464,0.0007933276],"category_scores_gemma":[0.001474978,0.0003866494,0.0008055188,0.001105938,0.0004577796,0.0005881534,0.0006934514,0.00119643,0.0002129714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003539152,"about_ca_system_score_gemma":0.0003047853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02027524,"about_ca_topic_score_gemma":0.01698834,"domain_scores_codex":[0.9995183,0.0002007548,0.00002822418,0.00009252462,0.00007911191,0.00008111353],"domain_scores_gemma":[0.9992487,0.00010577,0.0001733638,0.00005050961,0.0001167398,0.0003049066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000346515,0.000285622,0.9969442,0.000006755224,0.0001906926,0.0002004945,0.0003828081,0.0000373951,0.0005698476,0.00001974089,0.0001433717,0.0008725851],"study_design_scores_gemma":[0.00001960079,0.0001422735,0.9989347,0.00000253372,0.00007081736,0.0001329068,0.000498641,0.00008650699,0.00002618254,0.00001449813,0.00006667837,0.000004681387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994936,0.00005433047,0.00003102721,0.00004857892,0.000005844955,0.000005937934,0.0001708578,8.58127e-7,0.0001889251],"genre_scores_gemma":[0.9994204,0.00004969857,0.0000296474,0.00006082191,0.000008528636,0.00000806397,0.0002639205,0.000001243987,0.0001576741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02027524,"threshold_uncertainty_score":0.04031444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05685539555575457,"score_gpt":0.3553073232014723,"score_spread":0.2984519276457178,"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."}}