{"id":"W3125096742","doi":"10.1007/s00247-020-04955-z","title":"Water-fat magnetic resonance imaging of adipose tissue compartments in the normal third trimester fetus","year":2021,"lang":"en","type":"article","venue":"Pediatric Radiology","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children’s Health Research Institute; Victoria Hospital; London Health Sciences Centre; Western University","funders":"Schulich School of Medicine and Dentistry; London Health Sciences Centre","keywords":"Adipose tissue; Fetus; White adipose tissue; Medicine; Magnetic resonance imaging; Gestational age; Abdomen; Gestation; Brown adipose tissue; Anatomy; Internal medicine; Pregnancy; Biology; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002880637,0.0001410235,0.0004283788,0.00009238152,0.00005697056,0.000005326002,0.0001501402,0.00006771983,0.00008248501],"category_scores_gemma":[0.00008473642,0.0000878852,0.00006652789,0.0002236102,0.0001063136,0.00004743926,0.0000836436,0.000231517,0.00003686728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002191681,"about_ca_system_score_gemma":0.00005842394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000312647,"about_ca_topic_score_gemma":0.00001475111,"domain_scores_codex":[0.9985718,0.0003016671,0.0003694382,0.0002510454,0.0001383862,0.0003677295],"domain_scores_gemma":[0.9992573,0.0002586984,0.00005545956,0.0003381685,0.00005016624,0.00004015576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000182434,0.0001769302,0.9814567,0.000132246,0.00001800055,0.000726035,0.003100834,0.000004776181,0.0008200156,0.00009628633,0.006700191,0.006585561],"study_design_scores_gemma":[0.003236905,0.0003483393,0.9706289,0.00004162181,0.000262297,0.001033724,0.000213837,0.00004402845,0.003517748,0.0003632241,0.02014412,0.0001652394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8192838,0.1704706,0.0000203534,0.002054526,0.0003313884,0.0003009636,0.000009775751,0.00001896373,0.00750968],"genre_scores_gemma":[0.9948546,0.003133095,0.0002504724,0.0007221791,0.0003944525,0.00003917646,0.00002893407,0.000009306991,0.0005677667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1755708,"threshold_uncertainty_score":0.3583854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483968643318387,"score_gpt":0.2649071712792565,"score_spread":0.2500674848460726,"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."}}