{"id":"W4220749058","doi":"10.1159/000522197","title":"Associations between Gestational Weight Gain Adequacy and Neonatal Outcomes in Tanzania","year":2022,"lang":"en","type":"article","venue":"Annals of Nutrition and Metabolism","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Weight gain; Obstetrics; Pediatrics; Small for gestational age; Pregnancy; Birth weight; Gestational age; Body mass index; Low birth weight; Mass index; Tanzania; Internal medicine; Body weight","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003643752,0.00007098784,0.0002526006,0.0002989224,0.00008920918,0.00001126927,0.00003648235,0.00002222214,0.0001191162],"category_scores_gemma":[0.0001583655,0.00007094983,0.00004383525,0.0001874143,0.00004255263,0.0001069172,0.00006532631,0.00013052,0.000001565088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001162446,"about_ca_system_score_gemma":0.00003487876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005597599,"about_ca_topic_score_gemma":0.000005035745,"domain_scores_codex":[0.9989855,0.00009093642,0.0002347089,0.0001413665,0.0003855822,0.0001618649],"domain_scores_gemma":[0.9994823,0.0001751494,0.00007001419,0.00006078121,0.0001078814,0.000103928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002836352,0.003325362,0.6169218,0.000674818,0.0008019661,0.00007846609,0.002343907,0.00003254866,0.001671575,0.1976373,0.03007581,0.1461528],"study_design_scores_gemma":[0.002018944,0.00007383924,0.9291241,0.00001467036,0.00002696053,0.000001755253,0.0002735996,0.00004596639,0.0001888709,0.008452662,0.05971701,0.00006158301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720773,0.003334288,0.00005159505,0.02272003,0.00003681804,0.0004111278,0.000963174,0.00001245708,0.0003931942],"genre_scores_gemma":[0.9949459,0.001735994,0.0007698981,0.001211297,0.00004727732,0.00009145617,0.0007465262,0.000007296832,0.0004443413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3122024,"threshold_uncertainty_score":0.289325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05115646872668105,"score_gpt":0.3458078851315348,"score_spread":0.2946514164048538,"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."}}