{"id":"W2328879001","doi":"10.1097/der.0b013e3182759e43","title":"Whole Exome Sequencing","year":2013,"lang":"en","type":"article","venue":"Dermatitis","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Simplicity; Section (typography); Exome sequencing; Epistemology; Computer science; Mutation; Genetics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003928324,0.000770019,0.0007384279,0.002259748,0.001101544,0.002566749,0.0008515401,0.001474887,0.01506601],"category_scores_gemma":[0.005672003,0.0003792907,0.0008879035,0.001734077,0.0005344992,0.00144387,0.001320333,0.002124498,0.008276254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004808089,"about_ca_system_score_gemma":0.001093077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008391445,"about_ca_topic_score_gemma":0.002154579,"domain_scores_codex":[0.9984419,0.000332353,0.0002412923,0.0005255272,0.0003574515,0.0001015935],"domain_scores_gemma":[0.9974073,0.001091199,0.0002088271,0.0006834281,0.000443132,0.0001662281],"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":[0.0006119973,0.000174823,0.02045794,0.00234565,0.0005659327,0.003724184,0.000627462,0.001710727,0.2113363,0.02842094,0.2622852,0.4677388],"study_design_scores_gemma":[0.00004412601,0.0001510262,0.02885217,0.0005180929,0.000151847,0.01010159,0.0002497009,0.001958144,0.04409486,0.02012858,0.893618,0.0001318346],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07256139,0.03813224,0.6435565,0.0309609,0.02277352,0.001248469,0.1182132,0.006531812,0.06602193],"genre_scores_gemma":[0.1443789,0.04943236,0.5430049,0.02639215,0.008194907,0.002801343,0.1186167,0.004963388,0.1022154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01506601,"threshold_uncertainty_score":0.05040079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007234005441511687,"score_gpt":0.2039983326189088,"score_spread":0.1967643271773971,"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."}}