{"id":"W2004714439","doi":"10.1542/peds.2007-0502","title":"Association Between Iron-Deficiency Anemia and Stroke in Young Children","year":2007,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":207,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Hospital for Sick Children","keywords":"Medicine; Mean corpuscular volume; Anemia; Stroke (engine); Ferritin; Iron deficiency; Iron-deficiency anemia; Mean corpuscular hemoglobin; Pediatrics; Hemoglobin; Mean corpuscular hemoglobin concentration; Complete blood count; Internal medicine; Outpatient clinic","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006138387,0.00008821936,0.0001558713,0.0002094463,0.00003999621,0.00001220996,0.00004155406,0.0001325863,0.00001686986],"category_scores_gemma":[0.0002905773,0.00008600176,0.00002581201,0.0002909715,0.00001418416,0.00006436279,0.00002438671,0.0001916749,0.0000171077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007127597,"about_ca_system_score_gemma":0.00004019387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002168405,"about_ca_topic_score_gemma":0.00007239253,"domain_scores_codex":[0.999028,0.00001463071,0.0002140712,0.0001654664,0.0002893055,0.0002885605],"domain_scores_gemma":[0.9996034,0.00009054664,0.00008075491,0.00009922042,0.00003221291,0.00009384823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001004969,0.00003538217,0.9960188,0.0000495671,6.09457e-7,0.000002368326,0.0002090248,8.193333e-7,0.00002746848,0.00003894433,0.0004077153,0.003199249],"study_design_scores_gemma":[0.001125278,0.00003483909,0.9983672,0.000001478129,0.0001547446,0.000002779941,0.0001040913,8.325534e-7,0.00002416112,0.00003927779,0.00005893084,0.00008630915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906826,0.001790305,0.0001923505,0.0001665226,0.0001156554,0.0001710277,0.00001901611,0.0000291116,0.006833419],"genre_scores_gemma":[0.9974942,0.000724889,0.000411738,0.00007450995,0.0005816152,0.000001144418,0.00004171902,0.00001094139,0.0006592988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006811552,"threshold_uncertainty_score":0.350705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006013378149360262,"score_gpt":0.2449663281301571,"score_spread":0.2389529499807968,"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."}}