{"id":"W4224325577","doi":"10.1002/ansa.202100055","title":"Artificial amniotic fluid for nuclear magnetic resonance spectroscopy studies","year":2022,"lang":"en","type":"article","venue":"Analytical Science Advances","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University; St. Michael's Hospital","funders":"","keywords":"Amniocentesis; Imaging phantom; Amniotic fluid; Miscarriage; Magnetic resonance imaging; Nuclear magnetic resonance spectroscopy; Nuclear magnetic resonance; Medicine; Fetus; Prenatal diagnosis; Pregnancy; Nuclear medicine; Radiology; Physics; Biology; 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":[0.001754346,0.0006685029,0.0004856627,0.0008171666,0.000518447,0.0007505997,0.0005921258,0.0008228401,0.002741246],"category_scores_gemma":[0.002080422,0.000190952,0.0003678518,0.0004703185,0.0005822401,0.0006689901,0.0007196966,0.0006306896,0.001431097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002933958,"about_ca_system_score_gemma":0.0007841648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003544497,"about_ca_topic_score_gemma":0.0004218487,"domain_scores_codex":[0.9989403,0.0003837602,0.00007735275,0.000131027,0.000410675,0.0000567608],"domain_scores_gemma":[0.9993704,0.0001687799,0.0001387721,0.00009723397,0.000165843,0.00005895604],"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":[0.0005739157,0.0001231119,0.001710105,0.0007483002,0.0000384347,0.001507423,0.000171953,0.0007584625,0.9321504,0.002546314,0.001550249,0.05812134],"study_design_scores_gemma":[0.00009131333,0.00136046,0.003064447,0.0004347467,0.0001276154,0.005572729,0.0002594739,0.006016511,0.828023,0.002834839,0.1521186,0.0000962313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3653316,0.07900746,0.5186245,0.002409952,0.003713622,0.002928715,0.002529993,0.001688389,0.0237656],"genre_scores_gemma":[0.6090729,0.03049128,0.3452561,0.001341913,0.0004605477,0.003239151,0.001784867,0.000258041,0.008095295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002741246,"threshold_uncertainty_score":0.00927794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02900064592172038,"score_gpt":0.3425075688889853,"score_spread":0.3135069229672649,"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."}}