{"id":"W3197694883","doi":"10.3310/hta25520","title":"A prognostic model, including quantitative fetal fibronectin, to predict preterm labour: the QUIDS meta-analysis and prospective cohort study","year":2021,"lang":"en","type":"review","venue":"Health Technology Assessment","topic":"Preterm Birth and Chorioamnionitis","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre","funders":"Health Technology Assessment Programme; UCLH Biomedical Research Centre; Medical Research Council; University of Aberdeen; National Health and Medical Research Council; University College London Hospitals NHS Foundation Trust; University of Edinburgh; National Institute for Health and Care Research; Hologic","keywords":"Fetal fibronectin; Medicine; Prospective cohort study; Obstetrics; Cohort study; Cohort; Gestation; Pregnancy; Pediatrics; Surgery; Internal medicine; Preterm labor","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00190465,0.000809882,0.006933108,0.001203133,0.0006542988,0.00008512108,0.0004125609,0.0005249975,0.00008373934],"category_scores_gemma":[0.0005193108,0.0005161693,0.001049184,0.003136286,0.0002405544,0.00007962382,0.0007770321,0.001863617,0.000008004837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008731566,"about_ca_system_score_gemma":0.002374746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001166632,"about_ca_topic_score_gemma":0.0003308801,"domain_scores_codex":[0.9944979,0.0008489753,0.001442785,0.001589795,0.0007985288,0.0008220332],"domain_scores_gemma":[0.9965127,0.0005082052,0.0008499714,0.001392333,0.0003977369,0.0003390487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00009208109,0.001998059,0.1990519,0.02100648,0.6097894,0.0005145377,0.001968929,0.00002266716,6.483286e-7,0.01044146,0.0004370683,0.1546767],"study_design_scores_gemma":[0.001598315,0.0113928,0.02993431,0.004359669,0.8868752,0.0006170525,0.004354886,0.001154481,0.000001596248,0.0004215327,0.05782872,0.001461467],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001005953,0.9718314,0.006741746,0.003400094,0.0001187377,0.0160953,0.0003018488,0.0003277111,0.0001772422],"genre_scores_gemma":[0.02939301,0.9468566,0.008403278,0.0003697878,0.00005130225,0.01421025,0.000267653,0.00009869013,0.0003494644],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2770858,"threshold_uncertainty_score":0.999729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296905930154737,"score_gpt":0.4666107523056129,"score_spread":0.3369201592901392,"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."}}