{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004919936,0.0001506057,0.000621882,0.0002406563,0.00001577602,0.000008782634,0.00007494748,0.0001037423,0.00003516781],"category_scores_gemma":[0.00006954235,0.0001162134,0.00006616148,0.0001401549,0.0001287426,0.00008094368,0.0000250492,0.0003138798,3.823412e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003363783,"about_ca_system_score_gemma":0.00007769085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001687466,"about_ca_topic_score_gemma":0.000001996564,"domain_scores_codex":[0.9987432,0.00005899222,0.0005202709,0.0001447181,0.0002557406,0.0002770737],"domain_scores_gemma":[0.9992054,0.00005069632,0.0002405849,0.0001477787,0.00009850939,0.0002570266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003209185,0.00005700978,0.03206001,0.0004724717,0.000155371,0.000598569,0.001264238,0.00001029408,0.9637548,0.0001269209,0.00002092669,0.001158465],"study_design_scores_gemma":[0.08102746,0.02166196,0.2287595,0.01429936,0.001859636,0.007799399,0.006033299,0.001388874,0.6224933,0.002812042,0.01075881,0.001106387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736147,0.02379984,0.001104056,0.0009007179,0.0001511495,0.000171715,0.000001490392,0.00000414327,0.0002521974],"genre_scores_gemma":[0.9966015,0.002464589,0.000217278,0.0004671832,0.0001098867,0.000001373606,0.000003460534,0.0000184654,0.0001162358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3412616,"threshold_uncertainty_score":0.4739047,"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."}}