{"id":"W1881183728","doi":"10.1002/jmri.24245","title":"Measuring venous blood oxygenation in fetal brain using susceptibility‐weighted imaging","year":2013,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Oxygenation; Superior sagittal sinus; Venous blood; Gestational age; Fetus; Nuclear medicine; Cerebral veins; Magnetic resonance imaging; Oxygen saturation; Nuclear magnetic resonance; Cardiology; Oxygen; Internal medicine; Radiology; Chemistry; Pregnancy; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005927817,0.0002735704,0.0001803682,0.0002417718,0.0001099163,0.0002565883,0.0001844337,0.0002147812,0.0003472278],"category_scores_gemma":[0.002733712,0.0001334396,0.0000877213,0.0001378017,0.0003261185,0.0002135676,0.000164639,0.0001327372,0.00008134041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000178957,"about_ca_system_score_gemma":0.0002540752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00137222,"about_ca_topic_score_gemma":0.001398421,"domain_scores_codex":[0.9997715,0.0001020292,0.0000101249,0.0000443998,0.00006190695,0.00001009528],"domain_scores_gemma":[0.9995298,0.0002155731,0.0001512484,0.00003583625,0.00005168133,0.000015908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001244337,0.0000976188,0.3339525,0.0003460072,0.0001976903,0.0007986863,0.0005843894,0.01140557,0.5493217,0.0005779717,0.0002158613,0.1012577],"study_design_scores_gemma":[0.00009175626,0.003587897,0.4358771,0.00009208245,0.000230179,0.009365572,0.000352258,0.06927524,0.4778921,0.0009770319,0.002192312,0.00006652461],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796618,0.0006027945,0.01938818,0.00002575786,0.000003755752,0.00001574649,0.00005084299,0.00002696031,0.0002240963],"genre_scores_gemma":[0.9901165,0.0004890147,0.009196966,0.0000109948,0.00000490393,0.00001731946,0.00005774575,0.000006994494,0.00009954496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00137222,"threshold_uncertainty_score":0.003134966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588097106963523,"score_gpt":0.2468759150940213,"score_spread":0.230994944024386,"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."}}