{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01271018,0.001759278,0.001797358,0.00260783,0.001822517,0.008528063,0.002572815,0.008827928,0.01480395],"category_scores_gemma":[0.01883161,0.0009786629,0.002495822,0.001631157,0.003003412,0.006792721,0.002433315,0.02387779,0.007412091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002480437,"about_ca_system_score_gemma":0.003165069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00117041,"about_ca_topic_score_gemma":0.002701513,"domain_scores_codex":[0.9947932,0.001102769,0.0008164812,0.0008384075,0.002074769,0.0003742445],"domain_scores_gemma":[0.9796693,0.008943776,0.0009682634,0.0008487584,0.006247649,0.003322277],"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":[0.0000399677,0.00001601863,0.00006701928,0.0002431389,0.00002133873,0.0001327302,0.00004350473,0.00003133785,0.0001867757,0.002457236,0.9690898,0.02767109],"study_design_scores_gemma":[0.00001239307,0.00001800408,0.0002228085,0.0002209313,0.00001670005,0.0002733974,0.00004658141,0.00005303089,0.00008332443,0.002477991,0.9965623,0.00001252216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"review","genre_scores_codex":[0.0001364652,0.03311255,0.001394585,0.2316291,0.7286144,0.00003200412,0.0001160622,0.0001540745,0.004810763],"genre_scores_gemma":[0.001236879,0.03091164,0.001268328,0.1084103,0.8446652,0.00003637705,0.000140328,0.0001350966,0.01319584],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01480395,"threshold_uncertainty_score":0.06721866,"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."}}