{"id":"W3166433324","doi":"10.15562/diabesity.2020.71","title":"Fetal Programming in Maternal Obesity","year":2020,"lang":"en","type":"article","venue":"Diabesity","topic":"Birth, Development, and Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture; National Institutes of Health; National Institute of General Medical Sciences; University of Nebraska-Lincoln; U.S. Department of Agriculture","keywords":"Agriculture; Political science; Library science; Research council; Accession; Research center; Environmental health; Economic growth; Geography; Medicine; Business; Law; Government (linguistics); International trade; Archaeology; Economics; European union","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001643981,0.00009318411,0.0002449954,0.0000351782,0.00005239136,0.0000132224,0.00006227814,0.0000672581,0.00009817544],"category_scores_gemma":[0.00004023141,0.00008590791,0.00003953938,0.000158402,0.00002609118,0.00005251196,0.00004467678,0.0002309493,0.0001751603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006711212,"about_ca_system_score_gemma":0.0001274842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001746394,"about_ca_topic_score_gemma":0.00009075963,"domain_scores_codex":[0.9991283,0.00002522655,0.0001787807,0.0002078985,0.0001737769,0.0002859758],"domain_scores_gemma":[0.9995789,0.000008501466,0.00003723932,0.00009293146,0.00002604515,0.0002563998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005274269,0.0001243754,0.9908107,0.0002279331,0.00000952449,0.00009701234,0.000639645,1.651692e-7,0.0003361482,0.001193219,0.0002241579,0.006284388],"study_design_scores_gemma":[0.0008108398,0.00009052658,0.9950187,0.00004586005,0.000009252979,0.000007439712,0.00005449009,0.0001023366,0.002034818,0.0003523793,0.0013867,0.00008663951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946535,0.0000742357,0.00009756408,0.002292253,0.00007889506,0.0002869624,0.000002619343,0.0000847759,0.002429168],"genre_scores_gemma":[0.9941548,0.0004757758,0.002649405,0.002522409,0.000147998,0.000007502848,0.00001220748,0.00000986513,0.00002003912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006197749,"threshold_uncertainty_score":0.3503223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784708840424915,"score_gpt":0.2802804679602768,"score_spread":0.2524333795560276,"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."}}