{"id":"W2810977091","doi":"10.1016/j.clinbiochem.2018.06.015","title":"Non-invasive prenatal aneuploidy testing: Critical diagnostic performance parameters predict sample z-score values","year":2018,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency; Centre Hospitalier Universitaire Sainte-Justine; McGill University; Montreal Neurological Institute and Hospital; Université Laval","funders":"Fonds de Recherche du Québec - Santé; Genome British Columbia; Génome Québec; Canadian Institutes of Health Research; Genome Canada; Genome Alberta; Health Research","keywords":"Aneuploidy; Reliability (semiconductor); Population; Predictive value; Statistics; Chromosome; Biology; Medicine; Internal medicine; Mathematics; Genetics; Physics","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004597677,0.00032136,0.000523894,0.00003597288,0.0001861673,0.00004495918,0.0003238135,0.0004368376,0.00009446946],"category_scores_gemma":[0.1564824,0.0002809002,0.0002102514,0.0002506094,0.001754072,0.00009167005,0.0002635843,0.0006911712,0.0001882982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005084634,"about_ca_system_score_gemma":0.000382989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000053171,"about_ca_topic_score_gemma":0.000001158806,"domain_scores_codex":[0.9973545,0.00004038049,0.000770563,0.0008010899,0.0004282583,0.0006051798],"domain_scores_gemma":[0.9780474,0.01974744,0.0001428341,0.0008352072,0.000427366,0.0007997516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003881617,0.000737075,0.9774283,0.0008163449,0.0001018838,0.0002094741,0.00005202788,0.000006470381,0.002210479,0.000008227152,0.01001363,0.008027989],"study_design_scores_gemma":[0.003738441,0.00701978,0.387175,0.004756337,0.0007650548,0.0004793021,0.0001414307,0.006814032,0.5872853,0.0005791795,0.0002876779,0.0009585051],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952646,0.0001927989,0.000367847,0.0004299832,0.000506886,0.0002782733,0.0001642954,0.0002434409,0.002551912],"genre_scores_gemma":[0.9837615,0.00009794132,0.01306343,0.0007954937,0.00184661,0.00003887969,0.0002238305,0.00004074904,0.0001315124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5902532,"threshold_uncertainty_score":0.9999643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06660107673985374,"score_gpt":0.3512417958868648,"score_spread":0.2846407191470111,"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."}}