{"id":"W4387012785","doi":"10.32920/24192195","title":"Development of Anthropomorphic Fetal MRI phantom","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Imaging phantom; Biomedical engineering; Relaxometry; Motion (physics); Computer science; Fetus; Nuclear medicine; Magnetic resonance imaging; Medicine; Artificial intelligence; Radiology; Biology; Pregnancy","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":[0.0005837097,0.0005212471,0.0003334377,0.0004473003,0.0001566408,0.0003795674,0.0006522562,0.0005342721,0.004854728],"category_scores_gemma":[0.0009230923,0.0003571873,0.0002322677,0.0002774106,0.0002156048,0.0003058361,0.0004926801,0.0003775101,0.001235292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001965144,"about_ca_system_score_gemma":0.0004318515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004365293,"about_ca_topic_score_gemma":0.0003723094,"domain_scores_codex":[0.9998124,0.00004461146,0.0000135747,0.00003774675,0.00007879172,0.00001292585],"domain_scores_gemma":[0.9996105,0.0001135727,0.00005094935,0.00008802092,0.0001005149,0.00003643222],"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":[0.0003495339,0.000156371,0.001372661,0.0004615441,0.00002406249,0.001692303,0.0003820727,0.03709273,0.8663371,0.006806198,0.003893686,0.08143178],"study_design_scores_gemma":[0.0001100446,0.001509656,0.006173812,0.0002011885,0.00009267137,0.007983791,0.000185571,0.1270214,0.7301243,0.002545385,0.123903,0.0001493111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1082643,0.0008804775,0.8702708,0.0005259176,0.0001857206,0.00099741,0.001306575,0.004179662,0.01338915],"genre_scores_gemma":[0.2793368,0.001572972,0.6998963,0.0002252692,0.00003632866,0.001156029,0.002286536,0.0004859512,0.01500378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004854728,"threshold_uncertainty_score":0.01624072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09337076378905637,"score_gpt":0.397727428336342,"score_spread":0.3043566645472856,"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."}}