{"id":"W2085252090","doi":"10.1186/gm522","title":"Genomics for clinical utility: the future is near","year":2014,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Centre hospitalier universitaire Sainte-Justine; Government of Alberta; University of Washington","keywords":"Pharmacogenomics; Genomics; Personal genomics; Human genetics; Computational biology; Genome Biology; Genome; Medicine; Data science; Bioinformatics; Biology; Genetics; Computer science; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.04116947,0.001658443,0.002525773,0.00189391,0.002462413,0.01166746,0.002235812,0.01373446,0.03780831],"category_scores_gemma":[0.03034786,0.0006242849,0.001306454,0.001779294,0.01598313,0.02468587,0.005943278,0.02214366,0.0154939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004106589,"about_ca_system_score_gemma":0.01042932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001973465,"about_ca_topic_score_gemma":0.002089711,"domain_scores_codex":[0.9880519,0.004741635,0.0009313084,0.001337301,0.00378297,0.001154771],"domain_scores_gemma":[0.9465475,0.02313018,0.001687103,0.005983131,0.01287649,0.009775509],"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":[0.000559725,0.0001464578,0.001293547,0.001042946,0.00009539248,0.0003325336,0.0004612474,0.0003124391,0.004017485,0.1236311,0.6188866,0.2492205],"study_design_scores_gemma":[0.00007839171,0.0001947029,0.001113029,0.001024157,0.00004175444,0.0005543426,0.0006276602,0.0002616641,0.0007294427,0.1014118,0.893889,0.00007412719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00103404,0.1544134,0.01145164,0.7984011,0.01988113,0.0000491213,0.00054083,0.0009785426,0.01325027],"genre_scores_gemma":[0.04822748,0.2253215,0.0434748,0.5937881,0.0607341,0.000206569,0.001764593,0.00116154,0.02532144],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04116947,"threshold_uncertainty_score":0.2177275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076205712868652,"score_gpt":0.4239730593320892,"score_spread":0.3163524880452241,"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."}}