{"id":"W4381737302","doi":"10.37766/inplasy2023.6.0068","title":"Serum chemerin as a biomarker of pre-eclampsia","year":2023,"lang":"en","type":"report","venue":"","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemerin; Subgroup analysis; Observational study; Preeclampsia; Medicine; Meta-analysis; Biomarker; MEDLINE; Scale (ratio); Computer science; Internal medicine; Pregnancy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005171726,0.0007808636,0.001989075,0.001854134,0.0004731175,0.0008697556,0.000849096,0.001650791,0.009361102],"category_scores_gemma":[0.01348471,0.0005027513,0.002808649,0.003013336,0.0003750061,0.001256045,0.0005803425,0.0008888139,0.0009466062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008536075,"about_ca_system_score_gemma":0.001657982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009895015,"about_ca_topic_score_gemma":0.001635046,"domain_scores_codex":[0.9948848,0.001864702,0.001761374,0.0006625319,0.0006409069,0.0001857739],"domain_scores_gemma":[0.9952785,0.001460379,0.002244727,0.0004008234,0.0004525938,0.0001630143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.1870431,0.003691462,0.2248929,0.3004397,0.03580016,0.002005056,0.0009796104,0.001163553,0.004188994,0.006790405,0.02264792,0.2103572],"study_design_scores_gemma":[0.0793831,0.0406402,0.6149658,0.04844552,0.05182038,0.003957354,0.00100964,0.002461143,0.006086607,0.00841689,0.1425676,0.0002457133],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4594375,0.3202617,0.01354135,0.002746556,0.00458464,0.08617435,0.07718688,0.0001874061,0.0358797],"genre_scores_gemma":[0.8639649,0.03142519,0.007344037,0.00187836,0.001232232,0.07385902,0.01444353,0.00003484789,0.00581788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009361102,"threshold_uncertainty_score":0.03131598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180423623997541,"score_gpt":0.3905113264308754,"score_spread":0.2724689640311213,"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."}}