{"id":"W2139328477","doi":"10.6000/1929-5634.2012.01.01.10","title":"Prenatal Nutrition and Fetal Macrosomia in Medically Underserved Areas","year":2012,"lang":"en","type":"article","venue":"Journal of Nutritional Therapeutics","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fetal macrosomia; Fetus; Medicine; Obstetrics; Incidence (geometry); Fetal weight; Birth weight; Pregnancy; Pediatrics; Gestation; Biology","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":[0.0003465704,0.0001084731,0.0002760158,0.0001312897,0.00004953697,0.00001115558,0.00005479105,0.0001045789,0.00003963734],"category_scores_gemma":[0.0000386494,0.00008800736,0.00009977497,0.0001078756,0.0001192425,0.0002308428,0.00002304994,0.0003375162,0.000002269697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007909819,"about_ca_system_score_gemma":0.00006397008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001155302,"about_ca_topic_score_gemma":0.000002813915,"domain_scores_codex":[0.9989251,0.00006087757,0.0003799714,0.00006947801,0.0003551358,0.000209438],"domain_scores_gemma":[0.9993632,0.0001715753,0.0001422341,0.00006361608,0.0001179825,0.0001414105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005804698,0.009828147,0.9367514,0.002585118,0.001491921,0.0004627245,0.002795939,0.000002885823,0.01344625,0.01020093,0.002067325,0.01456267],"study_design_scores_gemma":[0.01594015,0.0006778614,0.9338769,0.005251298,0.0003242122,0.005113309,0.0009698585,0.00006773431,0.003004202,0.01964819,0.01487033,0.0002559132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458489,0.04497865,0.0002440094,0.007586929,0.0002771006,0.000216811,0.00002007433,0.00001037301,0.0008170868],"genre_scores_gemma":[0.9888207,0.006656107,0.002815685,0.001056202,0.0006003621,0.000005928902,0.00001060408,0.0000102271,0.00002419309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04297173,"threshold_uncertainty_score":0.3588836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05674097001524465,"score_gpt":0.313481776905629,"score_spread":0.2567408068903843,"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."}}