{"id":"W2963994951","doi":"10.1111/jcmm.14567","title":"MicroRNA‐transcriptome networks in whole blood and monocytes of women undergoing preterm labour","year":2019,"lang":"en","type":"article","venue":"Journal of Cellular and Molecular Medicine","topic":"Preterm Birth and Chorioamnionitis","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Bill and Melinda Gates Foundation","keywords":"Biology; microRNA; Gestation; Transcriptome; Whole blood; Gestational age; Immune system; Population; Immunology; Andrology; Pregnancy; Bioinformatics; Internal medicine; Physiology; Gene expression; Gene; Medicine; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000139989,0.00009960362,0.000411696,0.0003126164,0.0002622826,0.0004051074,0.00009655334,0.0002252284,0.001084422],"category_scores_gemma":[0.0006976132,0.0001761193,0.0001893805,0.0003879339,0.000127664,0.0001242001,0.0002892232,0.0001839281,0.0002958773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002352226,"about_ca_system_score_gemma":0.0002756896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002490939,"about_ca_topic_score_gemma":0.004381062,"domain_scores_codex":[0.9998034,0.000043408,0.00001087742,0.00007238327,0.0000329751,0.00003700553],"domain_scores_gemma":[0.999841,0.00005430837,0.00004047669,0.00001305693,0.00003205221,0.0000190626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004957421,0.00006468724,0.509,0.0006229241,0.000312784,0.0006812842,0.002979941,0.0009300818,0.4162565,0.0003792624,0.002099693,0.06171542],"study_design_scores_gemma":[0.00002225125,0.0002808344,0.9844943,0.00004464263,0.0001006364,0.0005871934,0.001394069,0.00174042,0.007842304,0.0003598706,0.003114633,0.00001898573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950826,0.001319793,0.0008743291,0.0001318351,0.00001336562,0.0000164272,0.001770377,0.00002141583,0.0007699106],"genre_scores_gemma":[0.9945765,0.00090971,0.001294018,0.000180395,0.00001367593,0.0001040781,0.001707926,0.00001373849,0.001200092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002490939,"threshold_uncertainty_score":0.004952848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004511861378019465,"score_gpt":0.2117961036694227,"score_spread":0.2072842422914032,"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."}}