{"id":"W2148223447","doi":"10.2174/1568013023358799","title":"Genetic Lipodystrophies: Models for Insulin Resistance","year":2002,"lang":"en","type":"article","venue":"Current Medicinal Chemistry - Immunology Endocrine & Metabolic Agents","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Lipodystrophy; Insulin resistance; LMNA; Hyperinsulinemia; Dyslipidemia; Medicine; Acanthosis nigricans; Hyperlipidemia; Endocrinology; Genetics; Internal medicine; Diabetes mellitus; Bioinformatics; Biology; Mutation; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007842235,0.0003729157,0.0004034195,0.00005404791,0.0001711802,0.00001704651,0.0004332464,0.000172059,0.0003487538],"category_scores_gemma":[0.000163249,0.0003553454,0.0001978981,0.0001488721,0.0002487381,0.00001134302,0.0001441912,0.0003017565,0.00002849409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002597129,"about_ca_system_score_gemma":0.0000376707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004714274,"about_ca_topic_score_gemma":0.000002803447,"domain_scores_codex":[0.9980139,0.00004781663,0.0004650749,0.0006629967,0.0002194022,0.0005907667],"domain_scores_gemma":[0.9988217,0.00001634258,0.0002055002,0.0006542301,0.0001601259,0.0001421045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001056071,0.0006701187,0.0005208204,0.0004902026,0.0008863404,0.00003596452,0.0003447438,0.0001763547,0.8182507,0.0004065074,0.07041322,0.106749],"study_design_scores_gemma":[0.003672205,0.000168839,0.001635779,0.00005348497,0.0002221203,0.0001663766,0.0001001761,0.0007183641,0.06353613,0.0005242918,0.9287274,0.0004747812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8440956,0.1450189,0.005260812,0.0003392543,0.002041772,0.0005315793,0.0001024919,0.00007543407,0.002534215],"genre_scores_gemma":[0.9766605,0.0159973,0.001057412,0.0001727806,0.001967703,0.000162307,0.0002952191,0.00006665876,0.003620136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8583142,"threshold_uncertainty_score":0.9998899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206892137537452,"score_gpt":0.2595635709868683,"score_spread":0.2374946496114937,"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."}}