{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002952795,0.003017379,0.00252364,0.001836739,0.001234618,0.003381154,0.002588133,0.00765762,0.00922265],"category_scores_gemma":[0.007600915,0.0006478609,0.001224434,0.0008702895,0.001879911,0.002739583,0.001195765,0.01260987,0.007293322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643258,"about_ca_system_score_gemma":0.001430393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006347649,"about_ca_topic_score_gemma":0.001685725,"domain_scores_codex":[0.9986907,0.000268932,0.000168758,0.000168855,0.0005997345,0.0001029994],"domain_scores_gemma":[0.9935915,0.003169266,0.0003715585,0.0001780389,0.001565487,0.001124156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000420704,0.00001360182,0.00004318183,0.000215044,0.00001254483,0.0001364881,0.00001917633,0.00002194267,0.00009282586,0.0004360728,0.9870837,0.01188337],"study_design_scores_gemma":[0.00005623374,0.00004045963,0.0003410939,0.000371345,0.00003313815,0.000586499,0.00003481604,0.00009730849,0.0001193574,0.001385514,0.9969224,0.00001180851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00006698334,0.02711605,0.0001187876,0.03969046,0.9315438,0.00001118552,0.00003141103,0.00004584643,0.001375388],"genre_scores_gemma":[0.0005551989,0.02115197,0.0001323703,0.02077608,0.9501944,0.00001417173,0.00003051944,0.00002290553,0.00712234],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.00922265,"threshold_uncertainty_score":0.03085285,"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."}}