{"id":"W2136501536","doi":"10.1186/gm414","title":"2012 highlights in translational 'omics","year":2013,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pharmacogenomics; Personalized medicine; Translational medicine; Proteomics; Omics; Human genetics; Genomics; Medicine; Translational research; Precision medicine; Public health; Computational biology; Data science; Translational bioinformatics; Personal genomics; Systems biology; Human genome; Bioinformatics; Genome; Biology; Genetics; Computer science; Pharmacology; Pathology","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":[0.00007048728,0.00009355542,0.0001102367,0.00005495544,0.00002698713,0.000005021991,0.000110415,0.0000638564,0.0005131394],"category_scores_gemma":[0.00001214074,0.00007336351,0.00003106118,0.00005763658,0.00005976044,0.000003022727,0.00002135326,0.00003743135,0.00007247862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006569158,"about_ca_system_score_gemma":0.00003645158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006791706,"about_ca_topic_score_gemma":0.00004533563,"domain_scores_codex":[0.9993805,0.0000154724,0.000171749,0.0001846767,0.00007932675,0.0001683339],"domain_scores_gemma":[0.9996718,0.000005709289,0.00002960751,0.0001617667,0.00004075146,0.00009039741],"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":[0.00005503478,0.0001198734,0.007345103,0.00003202211,0.0000466719,0.00001717302,0.000301565,0.0002051381,0.9779823,0.001303204,0.009400885,0.003191013],"study_design_scores_gemma":[0.002400664,0.0003204097,0.4799781,0.00002004345,0.00002565143,0.00003711331,0.0001631685,0.0001299025,0.003796402,0.001996127,0.5107544,0.0003779693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875917,0.005010664,0.0002488148,0.003693182,0.0001615759,0.0002047843,0.00001446546,0.000005998886,0.003068825],"genre_scores_gemma":[0.9965626,0.000504546,0.0002143451,0.0005907824,0.0004816412,0.00002251768,0.000385309,0.00001237965,0.001225854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9741859,"threshold_uncertainty_score":0.5618516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007061422190712894,"score_gpt":0.2190538713371819,"score_spread":0.211992449146469,"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."}}