{"id":"W2261421332","doi":"10.1089/clinomi.01.15.09","title":"Advances in Exome Sequencing","year":2014,"lang":"en","type":"article","venue":"Clinical OMICs","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Xenon Pharmaceuticals (Canada)","funders":"","keywords":"Geneticist; Genetic counseling; Genetics; Library science; Medicine; Genealogy; Biology; Computer science; History","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":[0.01313524,0.001688639,0.00250578,0.003817302,0.0005515629,0.003094428,0.001825104,0.002197659,0.01178168],"category_scores_gemma":[0.01936346,0.0007647247,0.001695781,0.002656096,0.001471374,0.004972948,0.003992428,0.004671049,0.004054282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123248,"about_ca_system_score_gemma":0.001998645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001466435,"about_ca_topic_score_gemma":0.002122408,"domain_scores_codex":[0.9958711,0.001558473,0.0003107922,0.001177027,0.000850546,0.0002321173],"domain_scores_gemma":[0.9741934,0.0175248,0.001127826,0.002824016,0.003289822,0.001040058],"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":[0.00116263,0.0003087104,0.02288024,0.006459503,0.001332207,0.0007130953,0.0006179152,0.007469958,0.08633173,0.06283679,0.05844069,0.7514466],"study_design_scores_gemma":[0.0001939069,0.0004038616,0.03717806,0.003085241,0.0007492804,0.004753555,0.0004600392,0.01980798,0.0288509,0.1355235,0.7686438,0.00034995],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05199233,0.3026958,0.5224589,0.05148556,0.006379047,0.0005619528,0.02108969,0.004351652,0.03898505],"genre_scores_gemma":[0.1659083,0.2626918,0.4716413,0.0379565,0.01239874,0.00126869,0.02732118,0.001514813,0.01929869],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01313524,"threshold_uncertainty_score":0.06946659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284898759372646,"score_gpt":0.3369228675982814,"score_spread":0.3140738800045549,"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."}}