{"id":"W1801008707","doi":"10.1002/uog.14866","title":"Diagnostic utility of microarray testing in pregnancy loss","year":2015,"lang":"en","type":"article","venue":"Ultrasound in Obstetrics and Gynecology","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"","keywords":"SNP array; Medicine; Microarray; Gestational age; Karyotype; SNP; Products of conception; Pregnancy; Etiology; Aneuploidy; Fetus; Microarray analysis techniques; Single-nucleotide polymorphism; Obstetrics; Copy-number variation; Genetic testing; Gynecology; Gestation; Genetics; Pathology; Biology; Chromosome; Internal medicine; Genotype; Genome; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0003352659,0.0001140559,0.000408543,0.0003421694,0.00001592293,0.000007563994,0.0000777934,0.0001757641,0.00001815386],"category_scores_gemma":[0.4128858,0.0001102843,0.00003279611,0.00128147,0.0001528631,0.0000469366,0.00005193162,0.0002377155,0.000003429642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006333081,"about_ca_system_score_gemma":0.0001261347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005555683,"about_ca_topic_score_gemma":0.0002839389,"domain_scores_codex":[0.9988704,0.00007254386,0.0003867823,0.000254973,0.0001259377,0.0002893468],"domain_scores_gemma":[0.895282,0.1041077,0.00009814592,0.0002161132,0.0001330204,0.0001629694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001578583,0.0002876068,0.9739778,0.00006388814,0.00001922532,0.0001953539,0.0003323856,0.00004019614,0.00006915276,0.0001536197,0.0000473801,0.02479762],"study_design_scores_gemma":[0.002170651,0.0004032649,0.9944133,0.0001560551,0.00007091416,0.00004564507,0.0001843906,0.0003195583,0.0002030756,0.0009627435,0.0009569402,0.0001134988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878542,0.006829072,0.0001080226,0.00005954895,0.0002916717,0.0002748228,0.00002156954,0.00001649375,0.00454456],"genre_scores_gemma":[0.9975236,0.0005698078,0.001727981,0.00007166047,0.00001226925,0.00001372094,0.00002464847,0.000008224812,0.00004808642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4125505,"threshold_uncertainty_score":0.5920597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04058330576564911,"score_gpt":0.2766958288147312,"score_spread":0.2361125230490821,"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."}}