{"id":"W2752229394","doi":"10.1126/sciimmunol.aan2946","title":"An immune clock of human pregnancy","year":2017,"lang":"en","type":"article","venue":"Science Immunology","topic":"Reproductive System and Pregnancy","field":"Immunology and Microbiology","cited_by":517,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; March of Dimes Foundation; National Institutes of Health; U.S. Food and Drug Administration; Ovarian Cancer Research Fund; Canadian Institutes of Health Research","keywords":"Pregnancy; Immune system; Biology; Mass cytometry; Immunology; Computational biology; Bioinformatics; Phenotype; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006411786,0.0001785547,0.0001984962,0.000291536,0.0002088256,0.0006849777,0.0002727201,0.0003088744,0.0007512866],"category_scores_gemma":[0.002604575,0.0001652773,0.000152352,0.0002369859,0.000501418,0.0004334472,0.0004423116,0.0004944786,0.0001868663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003003843,"about_ca_system_score_gemma":0.0004105027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001523415,"about_ca_topic_score_gemma":0.0009454749,"domain_scores_codex":[0.9998121,0.00007109471,0.000006950979,0.00005746558,0.0000337454,0.0000187543],"domain_scores_gemma":[0.9997011,0.0001299831,0.00009364366,0.00003081456,0.00002471952,0.00001973332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00197354,0.000100059,0.2266236,0.0003556189,0.0001622068,0.001015396,0.001421951,0.2044308,0.1720777,0.06535723,0.003819291,0.3226627],"study_design_scores_gemma":[0.00003895627,0.0004877836,0.2756727,0.0002124282,0.00009354264,0.001677286,0.0006956536,0.587721,0.03672815,0.07786126,0.01867593,0.0001352827],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.769407,0.004139402,0.218354,0.0009254881,0.0001265261,0.00004707934,0.0009073977,0.000396627,0.005696484],"genre_scores_gemma":[0.9844472,0.0009438014,0.01381328,0.00008852898,0.00003224759,0.00003049424,0.0001531024,0.00002557296,0.0004657528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001523415,"threshold_uncertainty_score":0.003390908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400094989479217,"score_gpt":0.3226224823707075,"score_spread":0.2986215324759153,"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."}}