{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004519052,0.0007009456,0.0004021548,0.001489566,0.0004337498,0.0004294636,0.0001953421,0.0003028813,0.0005061839],"category_scores_gemma":[0.0006722936,0.0001617047,0.000386418,0.0007582403,0.000208614,0.0002345085,0.0004217101,0.0003636176,0.0002532421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001613783,"about_ca_system_score_gemma":0.0003011809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000745959,"about_ca_topic_score_gemma":0.0007734476,"domain_scores_codex":[0.9997535,0.0000299709,0.00003152146,0.00007182345,0.00008453023,0.00002866292],"domain_scores_gemma":[0.9998418,0.00003879486,0.00002972645,0.00001658408,0.00004873712,0.00002433035],"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":[0.0001183679,0.00001740338,0.003273011,0.00008186435,0.00002474538,0.0004893866,0.00009257189,0.00004527606,0.9908876,0.00004789718,0.00008590051,0.004836076],"study_design_scores_gemma":[0.00002154916,0.0003352249,0.1313094,0.00008966511,0.0002271291,0.005826438,0.0003240391,0.003067162,0.8475863,0.000328052,0.01084049,0.00004453288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729081,0.008168424,0.01373151,0.0002217374,0.0001378017,0.0001109342,0.003155297,0.0002439647,0.001322227],"genre_scores_gemma":[0.9328893,0.00919131,0.04703873,0.0003137231,0.0001140682,0.0002212861,0.008082828,0.0001195636,0.002029086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001489566,"threshold_uncertainty_score":0.002389967,"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."}}