{"id":"W2047820678","doi":"10.1002/pd.2530","title":"The role of molecular microsatellite identity testing to detect sampling errors in prenatal diagnosis","year":2010,"lang":"en","type":"article","venue":"Prenatal Diagnosis","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Sunnybrook Hospital; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Chorionic villus sampling; Amniocentesis; Zygosity; Medicine; Obstetrics; Singleton; Twin Pregnancy; Prenatal diagnosis; Sampling (signal processing); Pregnancy; Gestation; Fetus; Gynecology; Genetics; Biology; Computer science","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":[0.01067475,0.0003750081,0.0004250361,0.00178086,0.0003063082,0.0008483087,0.0008888689,0.0008984263,0.0007339502],"category_scores_gemma":[0.1120505,0.0001968144,0.0001409341,0.0005570934,0.0009242332,0.001139435,0.0004655209,0.0006034407,0.0002562414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003770699,"about_ca_system_score_gemma":0.0007544262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001331985,"about_ca_topic_score_gemma":0.001220723,"domain_scores_codex":[0.9924968,0.004716632,0.0008339232,0.0004060537,0.001357522,0.0001890244],"domain_scores_gemma":[0.9201071,0.05900883,0.01135236,0.001608461,0.00663215,0.001291133],"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":[0.0002887551,0.0000568174,0.903021,0.0001422257,0.00003179377,0.00104051,0.0002213306,0.000640308,0.001010322,0.0002567834,0.0007810341,0.09250923],"study_design_scores_gemma":[0.0001286084,0.00267961,0.8639435,0.001192941,0.0003536382,0.06661505,0.001515978,0.03783888,0.01579083,0.001626718,0.008210253,0.0001040421],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366679,0.03158136,0.02328918,0.003120684,0.0002413196,0.0001121571,0.0001305128,0.0001740766,0.004682865],"genre_scores_gemma":[0.9797586,0.002494995,0.01694966,0.0003390451,0.0001718759,0.00003908771,0.00005849378,0.00001314369,0.0001750207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01067475,"threshold_uncertainty_score":0.05645412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190562639508062,"score_gpt":0.2849093135943959,"score_spread":0.2658530496435896,"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."}}