{"id":"W4390655974","doi":"10.26911/thejmch.2023.08.06.10","title":"Meta-Analysis of Associations between Maternal Age, Low Hemoglobin Level during Pregnancy, Low Birth Weight, and Preterm Birth","year":2024,"lang":"en","type":"article","venue":"Journal of Maternal and Child Health","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Pregnancy; Low birth weight; Anemia; Obstetrics; Premature birth; Birth weight; Cohort study; Cohort; Population; Pediatrics; Incidence (geometry); Gestational age; Internal medicine; Environmental health","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":[0.0166528,0.002780187,0.01715705,0.006166352,0.0007591915,0.003759607,0.002163486,0.002595088,0.003596144],"category_scores_gemma":[0.04227334,0.001311148,0.04700835,0.006544369,0.000648757,0.001448079,0.001407158,0.00220857,0.0002843225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002381069,"about_ca_system_score_gemma":0.00369219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008547546,"about_ca_topic_score_gemma":0.01260614,"domain_scores_codex":[0.9889425,0.006164407,0.002494438,0.001144085,0.0009048777,0.0003496522],"domain_scores_gemma":[0.9676498,0.02639908,0.003287054,0.000994315,0.0013687,0.0003011307],"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":[0.002298902,0.00003246689,0.006576889,0.1284926,0.8552045,0.0001128302,0.00004626589,0.0005359237,0.000149588,0.0001091793,0.0005105697,0.005930246],"study_design_scores_gemma":[0.0003661289,0.0001601113,0.003417629,0.006254412,0.9885553,0.00005637969,0.00001898614,0.0001802674,0.00007487253,0.0001313684,0.0007727699,0.00001182281],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.008972663,0.9880965,0.0007494481,0.0003149584,0.0003359357,0.0002781479,0.0008833496,0.0000445731,0.000324575],"genre_scores_gemma":[0.2932706,0.6955714,0.004261002,0.001523879,0.0006311894,0.002028375,0.001908794,0.00006043204,0.0007443718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01715705,"threshold_uncertainty_score":0.08806944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03854841983184828,"score_gpt":0.3002674622999241,"score_spread":0.2617190424680759,"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."}}