{"id":"W4389891129","doi":"10.32920/24625179.v1","title":"Artificial Amniotic Fluid for NMR Spectroscopy Studies","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Amniocentesis; Amniotic fluid; Imaging phantom; Miscarriage; Nuclear magnetic resonance spectroscopy; Magnetic resonance imaging; Nuclear magnetic resonance; Fetus; Medicine; Pregnancy; Nuclear medicine; Prenatal diagnosis; Radiology; Biology; Physics; Genetics","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":[0.001357885,0.0007963615,0.0004877039,0.0008759796,0.000532845,0.0007868168,0.0005460313,0.001055875,0.007178098],"category_scores_gemma":[0.0017742,0.0002168019,0.0004114772,0.0004712672,0.0005500765,0.0006636385,0.0008092988,0.0007572976,0.004493083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002768578,"about_ca_system_score_gemma":0.0005889359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003223028,"about_ca_topic_score_gemma":0.0003231372,"domain_scores_codex":[0.9992769,0.0002212688,0.00006592532,0.0001196541,0.0002698814,0.00004636497],"domain_scores_gemma":[0.9993964,0.0001326334,0.0001059497,0.000160432,0.0001420709,0.00006253024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005953986,0.0001162316,0.0007218071,0.0006555431,0.00003087239,0.00130617,0.00014094,0.0005648779,0.9241573,0.002707325,0.003402788,0.06560086],"study_design_scores_gemma":[0.0001104089,0.0008605,0.00178141,0.0003421641,0.00008615789,0.005123607,0.0001488432,0.003687241,0.7603807,0.002768807,0.2246407,0.00006931595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2581432,0.05840206,0.6042549,0.003413174,0.006785415,0.005322452,0.007834616,0.004397599,0.05144656],"genre_scores_gemma":[0.437665,0.02557694,0.4981821,0.002197666,0.0009384366,0.006424124,0.004863596,0.0007409145,0.02341118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007178098,"threshold_uncertainty_score":0.0240131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1265735628164473,"score_gpt":0.3862627901226197,"score_spread":0.2596892273061724,"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."}}