{"id":"W2782593732","doi":"10.1093/biolre/iox186","title":"Delineating differential regulatory signatures of the human transcriptome in the choriodecidua and myometrium at term labor†,‡","year":2018,"lang":"en","type":"article","venue":"Biology of Reproduction","topic":"Preterm Birth and Chorioamnionitis","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Canadian Institutes of Health Research","keywords":"Biology; Myometrium; Transcriptome; Decidua; Gene regulatory network; Computational biology; Preterm labor; Systems biology; Gene expression; Gene; Placenta; Genetics; Fetus; Uterus; Pregnancy","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":[0.000155931,0.0001721704,0.000225354,0.0003989961,0.0002493954,0.0004041179,0.000115384,0.0001832629,0.001168517],"category_scores_gemma":[0.0002842582,0.0001511431,0.0002363284,0.0004811025,0.0002182795,0.0001363665,0.0002941127,0.0002593335,0.000292223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002136234,"about_ca_system_score_gemma":0.0003245615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470175,"about_ca_topic_score_gemma":0.002667361,"domain_scores_codex":[0.9998623,0.00001620835,0.000006289148,0.00005656655,0.00003179481,0.00002671311],"domain_scores_gemma":[0.9999217,0.00002150574,0.00002077922,0.000008839011,0.00001528244,0.00001199036],"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":[0.0003795328,0.00001556424,0.009718916,0.0001431617,0.00002231974,0.0000868049,0.0001695585,0.0003567343,0.9788673,0.0001866008,0.0002042277,0.009849247],"study_design_scores_gemma":[0.00003599099,0.0005966537,0.6729173,0.00009573864,0.0001904299,0.001024475,0.0008193671,0.01048496,0.2981948,0.0009494261,0.0146398,0.00005110348],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793423,0.004526852,0.009040602,0.0001776154,0.00002345117,0.0000739936,0.004748536,0.000125822,0.001940687],"genre_scores_gemma":[0.9754489,0.002873133,0.01087352,0.0001771549,0.00002882324,0.0002325568,0.00738667,0.00005018987,0.002929082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001470175,"threshold_uncertainty_score":0.003909111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01607454085430671,"score_gpt":0.2773774613543126,"score_spread":0.2613029205000059,"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."}}