{"id":"W2111787288","doi":"10.1002/ajmg.c.30268","title":"Imprinted genes and human disease","year":2010,"lang":"en","type":"editorial","venue":"American Journal of Medical Genetics Part C Seminars in Medical Genetics","topic":"Genetic Syndromes and Imprinting","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Imprinting (psychology); Genomic imprinting; Human genome; Disease; Phenotype; Biology; Human genetics; Human disease; Computational biology; Genetics; DNA microarray; Gene; Medical genetics; Bioinformatics; Genome; Medicine; Pathology; Gene expression","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","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.003441302,0.0007887172,0.001399019,0.0003399527,0.0001292443,0.00009445781,0.002290646,0.002155418,0.0003196739],"category_scores_gemma":[0.006381654,0.000728705,0.0003851073,0.0003499147,0.00225469,0.000004545133,0.001358561,0.003494742,0.000005999223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004796437,"about_ca_system_score_gemma":0.002807996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004356642,"about_ca_topic_score_gemma":0.0001265143,"domain_scores_codex":[0.9901096,0.000475514,0.002216424,0.0009790731,0.005210859,0.00100853],"domain_scores_gemma":[0.9937442,0.0004407496,0.001347098,0.0009862665,0.0005957098,0.002885965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001841093,0.0009394882,0.01997714,0.000380081,0.0005493211,0.001125974,0.0001898053,0.00004555905,0.01183217,0.000009262572,0.4216157,0.5431514],"study_design_scores_gemma":[0.001873509,0.002742672,0.002326304,0.001389477,0.0002405596,0.0004356832,0.0002013534,0.0002566472,0.001497294,0.0000757141,0.9880805,0.0008802995],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.7764789,0.03057854,0.0006292705,0.0009751553,0.1908851,0.0002941118,0.00006006166,0.00001201102,0.00008674545],"genre_scores_gemma":[0.1405622,0.2994916,0.007260573,0.001046884,0.5502604,0.00004698882,0.0004035161,0.0004176094,0.0005102367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6359167,"threshold_uncertainty_score":0.9995164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006013900462875183,"score_gpt":0.2991589590729615,"score_spread":0.2931450586100863,"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."}}