{"id":"W3100469534","doi":"10.25259/jcis_154_2020","title":"Lipemia Retinalis in a Patient with Familial Hypertriglyceridemia","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Imaging Science","topic":"Lipid metabolism and disorders","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Hypertriglyceridemia; Retinal; Ophthalmology; Dyslipidemia; Comorbidity; Internal medicine; Retinopathy; Medical history; Triglyceride; Diabetes mellitus; Cardiology; Pediatrics; Disease; Cholesterol; Endocrinology","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":[],"consensus_categories":[],"category_scores_codex":[0.001806028,0.00009868437,0.0005228234,0.0001311395,0.00004316333,0.00003688728,0.0002554443,0.00003095198,0.00002468201],"category_scores_gemma":[0.006475258,0.00006095234,0.0001287974,0.0008212203,0.000671323,0.0004208505,0.00005766626,0.0006139135,0.000007758013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002619295,"about_ca_system_score_gemma":0.00117205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002058573,"about_ca_topic_score_gemma":0.000001203363,"domain_scores_codex":[0.9975658,0.00006530154,0.001056332,0.0002426182,0.0008129901,0.000256946],"domain_scores_gemma":[0.9982627,0.0002121931,0.000461339,0.0001523007,0.0003722782,0.0005391843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002404167,0.000264902,0.9070059,0.00003051718,0.00001176916,0.001013876,0.0009509666,0.0000561762,0.004670374,0.00006348381,0.002927479,0.08060037],"study_design_scores_gemma":[0.01453154,0.003483945,0.9138631,0.0007551329,0.0002299449,0.001836556,0.002486618,0.007688548,0.002417537,0.0002460506,0.05204368,0.0004173766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807673,0.0002646482,0.0002936904,0.01598315,0.0004341218,0.00009443954,7.437512e-7,0.000009849116,0.0021521],"genre_scores_gemma":[0.9811691,0.00009511453,0.007298124,0.01088757,0.0005319686,5.592784e-7,1.694975e-7,0.00000757761,0.000009793502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08018299,"threshold_uncertainty_score":0.7751957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04306786385649369,"score_gpt":0.3737400958540281,"score_spread":0.3306722319975344,"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."}}