{"id":"W4415669037","doi":"10.1016/j.htct.2025.104071","title":"ASSOCIAÇÃO ENTRE ANEMIA MATERNA E PREMATURIDADE: ANÁLISE DA COORTE DE NASCIMENTOS GUARU-YÁ.","year":2025,"lang":"en","type":"article","venue":"Hematology Transfusion and Cell Therapy","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Anemia; Pregnancy; Hemoglobin; Cohort; Prenatal care","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004003342,0.0002703165,0.000503294,0.0001304694,0.0007525427,0.00001668936,0.0002167234,0.0005491211,0.002618464],"category_scores_gemma":[0.000006400971,0.0002168232,0.00008843108,0.0001747532,0.00008417859,0.00007011655,0.00005134551,0.0006664049,0.00009411697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000803024,"about_ca_system_score_gemma":0.0001907549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009777902,"about_ca_topic_score_gemma":0.0002887299,"domain_scores_codex":[0.9976049,0.0005436519,0.0005508817,0.0004315309,0.000177482,0.0006915695],"domain_scores_gemma":[0.9990504,0.0002444069,0.0001381473,0.0002806781,0.00008171214,0.0002046961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004191237,0.0009113793,0.7779631,0.009368449,0.0001978879,0.0004264975,0.02629096,0.000001190763,0.0735283,0.01979771,0.03389321,0.05343009],"study_design_scores_gemma":[0.02960373,0.000889809,0.1903332,0.004086083,0.0001945743,0.0003072922,0.01434852,0.000497179,0.26636,0.02066603,0.4707758,0.001937878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974776,0.006048448,0.0001856906,0.004239598,0.0006112062,0.00097,0.00004424814,0.000172255,0.0129525],"genre_scores_gemma":[0.9583041,0.01477348,0.0001097286,0.006858903,0.00006286864,0.0001554049,0.0000308008,0.00003041045,0.01967429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5876299,"threshold_uncertainty_score":0.9982933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212350122458442,"score_gpt":0.3592898569826157,"score_spread":0.3371663557580313,"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."}}