{"id":"W2166059050","doi":"10.1021/pr100088k","title":"Amniotic Fluid Proteome Analysis from Down Syndrome Pregnancies for Biomarker Discovery","year":2010,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Amniotic fluid; Proteome; Biomarker discovery; Down syndrome; Biomarker; Biology; Phenotype; Fetus; Computational biology; Bioinformatics; Andrology; Proteomics; Genetics; Medicine; Pregnancy; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.003225172,0.000194714,0.0007288416,0.001229547,0.0002019209,0.0002849476,0.000485983,0.0002325114,0.0001920835],"category_scores_gemma":[0.007068459,0.0001353589,0.0005345549,0.001436593,0.0002982344,0.0007625801,0.0001755378,0.001328584,0.0000246981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001148462,"about_ca_system_score_gemma":0.0005911681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002566088,"about_ca_topic_score_gemma":0.00005177632,"domain_scores_codex":[0.9966088,0.0001719533,0.0007018909,0.0003203636,0.001542979,0.0006540233],"domain_scores_gemma":[0.9962156,0.001237867,0.0002806285,0.000583418,0.001196731,0.0004857338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003498143,0.001044653,0.07354271,0.0006115594,0.003842298,0.00151834,0.0003000977,0.00003675931,0.9082299,0.000341107,0.003120909,0.003913511],"study_design_scores_gemma":[0.006096178,0.004885709,0.8837209,0.001891689,0.001948108,0.001142957,0.0002939545,0.001888764,0.08795381,0.004019817,0.005639084,0.0005190765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856994,0.0007336686,0.008897184,0.002334279,0.0002088796,0.001683487,0.0001861933,0.00002126579,0.0002357132],"genre_scores_gemma":[0.9801306,0.0000865029,0.01781285,0.00002927009,0.0004397235,0.0001306102,0.0000477248,0.00003332404,0.001289447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8202761,"threshold_uncertainty_score":0.8462117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06680243647213795,"score_gpt":0.3822396239154797,"score_spread":0.3154371874433418,"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."}}