{"id":"W4392788409","doi":"10.1055/a-2257-8557","title":"Bridging the notch: quantification of the end diastolic notch to better predict fetal growth restriction","year":2024,"lang":"en","type":"article","venue":"Ultraschall in der Medizin - European Journal of Ultrasound","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; North York General Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Bridging (networking); Notch signaling pathway; Fetal growth; Diastole; Cardiology; Fetus; Internal medicine; Medicine; Computer science; Biology; Blood pressure; Pregnancy; Genetics; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.002254022,0.0002398133,0.0003838291,0.0002932005,0.0001438557,0.00006813894,0.0004698234,0.00005359323,0.00003382703],"category_scores_gemma":[0.001617601,0.0001366787,0.0002705879,0.0007505044,0.0002645553,0.0002287476,0.00006407508,0.0009305442,0.00002749399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008536124,"about_ca_system_score_gemma":0.0001205684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003320705,"about_ca_topic_score_gemma":0.0000301778,"domain_scores_codex":[0.9969933,0.0006736027,0.0009724459,0.0002774669,0.0007669119,0.0003162693],"domain_scores_gemma":[0.997808,0.001117131,0.0003252391,0.0004099685,0.0002102824,0.0001294055],"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":[0.001153115,0.0008698893,0.2250603,0.001533939,0.002268519,0.001177226,0.05293825,0.000710997,0.6048797,0.002047509,0.03780937,0.06955121],"study_design_scores_gemma":[0.001291374,0.0005736558,0.9537437,0.004376259,0.0006129754,0.00209339,0.00127274,0.0001039112,0.02605059,0.0004102318,0.009197861,0.0002732978],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645665,0.006422324,0.005747013,0.01696695,0.001817409,0.0005037351,0.00002233167,0.00003922688,0.003914557],"genre_scores_gemma":[0.9953765,0.002380298,0.0004376135,0.0006446257,0.001017778,0.000006143064,0.000004839593,0.00004968797,0.00008248657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7286835,"threshold_uncertainty_score":0.5573596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02738087890180348,"score_gpt":0.266241797498579,"score_spread":0.2388609185967755,"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."}}