{"id":"W2940442343","doi":"10.1016/j.ejmg.2019.04.001","title":"Next generation sequencing in recurrent pregnancy loss-approaches and outcomes","year":2019,"lang":"en","type":"review","venue":"European Journal of Medical Genetics","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Exome sequencing; Biology; Whole genome sequencing; Genetics; DNA sequencing; Exome; Genome; Copy-number variation; Gene; Mutation; Computational biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001607504,0.0002987886,0.001392229,0.0002273077,0.00002324633,0.00004933523,0.0003153447,0.0001853766,0.00003465268],"category_scores_gemma":[0.001948766,0.0001982388,0.0002649425,0.0001469295,0.00009447878,0.00004422116,0.0001819611,0.001232532,0.00002624745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370156,"about_ca_system_score_gemma":0.0008963872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000016349,"about_ca_topic_score_gemma":0.000002112085,"domain_scores_codex":[0.9966042,0.0006550057,0.00127988,0.0002429355,0.0009800538,0.0002379418],"domain_scores_gemma":[0.9983341,0.0003073514,0.0005844101,0.0002548056,0.00006867529,0.0004506348],"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":[0.000005681947,0.00004852882,0.000525957,0.004077696,0.00009316234,0.001812968,0.00009391522,0.000005534961,2.813439e-7,0.00001541112,0.0002518695,0.993069],"study_design_scores_gemma":[0.002928822,0.001620754,0.001394465,0.1872082,0.002197017,0.005250305,0.00007511252,0.001387716,0.000003027597,0.00001145965,0.7973511,0.0005720867],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008441245,0.9970049,0.0004621109,0.0002318205,0.0005679287,0.0002814909,0.000006150708,0.000007549567,0.0005939289],"genre_scores_gemma":[0.001098318,0.9956118,0.00226135,0.00009306543,0.0007674728,0.000001329807,0.00002969799,0.00005607972,0.00008080993],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9924969,"threshold_uncertainty_score":0.8083944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3246721676720029,"score_gpt":0.3668905398664504,"score_spread":0.04221837219444752,"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."}}