{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001965452,0.0003008345,0.0002473873,0.001715678,0.0001953408,0.0003884157,0.0003788612,0.0005224344,0.001106787],"category_scores_gemma":[0.007058248,0.0001243855,0.0001243023,0.000470385,0.0004572928,0.0004007767,0.0003913019,0.000304855,0.0003104554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003012039,"about_ca_system_score_gemma":0.0002397321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005502837,"about_ca_topic_score_gemma":0.0004441322,"domain_scores_codex":[0.9989142,0.0004493504,0.0001021242,0.000185501,0.0002704151,0.0000783009],"domain_scores_gemma":[0.9977465,0.001401519,0.0003137036,0.0001044192,0.0003263572,0.000107457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001659752,0.00007168001,0.8252162,0.0002386505,0.00005784984,0.00385909,0.0002382151,0.0009693049,0.07892077,0.0002430478,0.0009224145,0.08760302],"study_design_scores_gemma":[0.00004666685,0.00136195,0.8681661,0.0002308777,0.0001543634,0.04154458,0.0007412971,0.01500418,0.06720468,0.000558098,0.004947684,0.00003950914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787653,0.006178654,0.01053672,0.0006527242,0.00007523671,0.00006091663,0.0002950081,0.0001709554,0.003264519],"genre_scores_gemma":[0.9919782,0.001074259,0.006364135,0.000106292,0.00003760527,0.00004099612,0.0001373361,0.000007128529,0.0002541574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001965452,"threshold_uncertainty_score":0.01039439,"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."}}