{"id":"W2127029849","doi":"10.1016/s1701-2163(16)34172-x","title":"Diagnosing Chromosomal Abnormalities From “Big” to “Small” With Molecular Cytogenetic Technology","year":2009,"lang":"en","type":"review","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Cancer Care Nova Scotia","funders":"","keywords":"Medicine; Prenatal diagnosis; Karyotype; Gynecology; Chromosomal analysis; Fetus; Obstetrics; Pregnancy; Chromosome; Genetics; Biology; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001220615,0.0003867257,0.002022072,0.0007258974,0.00008015067,0.00003354356,0.0002735173,0.000480312,0.00003279926],"category_scores_gemma":[0.004531095,0.0002833577,0.0001487979,0.0007764624,0.00009435365,0.00002302174,0.00009818321,0.0008537273,0.000001113091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008792027,"about_ca_system_score_gemma":0.004386875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007015679,"about_ca_topic_score_gemma":0.01005306,"domain_scores_codex":[0.9980249,0.00007477849,0.0008236318,0.000282398,0.0003682278,0.0004260093],"domain_scores_gemma":[0.995425,0.002844666,0.0006664544,0.000275187,0.0003060201,0.0004826748],"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":[0.000004266675,0.00004668356,0.001733418,0.0006026343,0.0003481247,0.02428926,0.00001077375,0.00001124779,3.029263e-7,0.00003593197,0.0002872375,0.9726301],"study_design_scores_gemma":[0.001758697,0.003095112,0.007529515,0.003721908,0.003512804,0.002500123,0.00008895982,0.000002165293,0.00002982581,0.00008820802,0.9771145,0.0005581892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0101634,0.9866332,0.0001118942,0.0002509555,0.002096867,0.000316362,0.00008077943,0.00001070103,0.0003357964],"genre_scores_gemma":[0.02025563,0.9752612,0.003618871,0.0006147693,0.000119434,0.00001136316,0.00003266122,0.00004612651,0.00004002106],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9768273,"threshold_uncertainty_score":0.9999619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073644259840055,"score_gpt":0.2533909068884936,"score_spread":0.2326544642900931,"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."}}