{"id":"W2611386534","doi":"10.1016/j.jpeds.2017.03.062","title":"The Highs and Lows of Fetal Programming for Fatty Liver Disease","year":2017,"lang":"en","type":"letter","venue":"The Journal of Pediatrics","topic":"Birth, Development, and Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Fatty liver; Fetus; Liver disease; Disease; Pregnancy; Internal medicine; 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":[0.001590057,0.0003455221,0.0006194746,0.000515249,0.001861691,0.001429756,0.000469712,0.009015333,0.003357482],"category_scores_gemma":[0.01509211,0.000266714,0.0003494136,0.0003770226,0.001811058,0.001812938,0.0008493828,0.01359834,0.001128045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265417,"about_ca_system_score_gemma":0.001654846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002846317,"about_ca_topic_score_gemma":0.003882739,"domain_scores_codex":[0.9986325,0.0006148932,0.0001525529,0.0001165261,0.0002791678,0.0002044204],"domain_scores_gemma":[0.9957222,0.00263488,0.0002912479,0.0001616525,0.0004180078,0.0007719137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003531716,0.0001817891,0.04486422,0.0001427949,0.00005810117,0.03849822,0.00145436,0.0001958039,0.000984707,0.02540724,0.8114775,0.07638204],"study_design_scores_gemma":[0.0003365368,0.0003424414,0.03115524,0.001435627,0.0001261771,0.1155422,0.008067288,0.001069124,0.00109775,0.07206287,0.7685989,0.0001658717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.004969606,0.002476188,0.00007262192,0.9808521,0.006505282,0.000004665034,0.00002465592,0.000007609148,0.005087341],"genre_scores_gemma":[0.1041674,0.009380004,0.0006491941,0.7785336,0.1004214,0.00004030675,0.00005680174,0.00003978412,0.006711509],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.009015333,"threshold_uncertainty_score":0.01123184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03379285039763483,"score_gpt":0.3010204684209748,"score_spread":0.2672276180233399,"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."}}