{"id":"W2379025285","doi":"10.1161/hypertensionaha.116.07293","title":"Unsupervised Placental Gene Expression Profiling Identifies Clinically Relevant Subclasses of Human Preeclampsia","year":2016,"lang":"en","type":"article","venue":"Hypertension","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":240,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Ottawa","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Preeclampsia; Gene expression profiling; Profiling (computer programming); Gene; Gene expression; Computational biology; Biology; Placenta; Bioinformatics; Medicine; Pregnancy; Genetics; Fetus; Computer science","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":[0.0003514115,0.0001132304,0.0002600592,0.0007387295,0.0002130622,0.0003893981,0.0001267413,0.0001839864,0.0005207657],"category_scores_gemma":[0.0009446258,0.00009213119,0.0001756631,0.000724026,0.0002108053,0.0001129011,0.0003160697,0.0002172412,0.0001499383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001555045,"about_ca_system_score_gemma":0.0002231317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006778793,"about_ca_topic_score_gemma":0.001064247,"domain_scores_codex":[0.9996474,0.00009393423,0.00003035898,0.000123565,0.00006321113,0.00004156794],"domain_scores_gemma":[0.9996159,0.0001875506,0.00006907745,0.00006712817,0.00003736495,0.0000228559],"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":[0.001102043,0.0001223259,0.3991924,0.0002017618,0.0001705581,0.0004599229,0.0005387394,0.001435676,0.5510162,0.0004767562,0.0008004619,0.0444832],"study_design_scores_gemma":[0.00002849743,0.0002366722,0.9361725,0.00002232149,0.0001377275,0.001321393,0.0004291218,0.006809743,0.04993506,0.00099289,0.003894208,0.00001996452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933256,0.0005961368,0.003909924,0.00006313804,0.000005652432,0.00002524511,0.001372049,0.00003119375,0.0006710672],"genre_scores_gemma":[0.9917855,0.0003926393,0.004137847,0.00005490672,0.00001148987,0.00005001756,0.003230099,0.00001399668,0.0003234775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007387295,"threshold_uncertainty_score":0.001858473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05333932161212306,"score_gpt":0.2989442124043794,"score_spread":0.2456048907922563,"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."}}