{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00141552,0.0001782693,0.0001952444,0.000540353,0.0001776643,0.000268542,0.0003426344,0.0001686964,0.000668572],"category_scores_gemma":[0.004506003,0.0001567138,0.0001923701,0.0005641731,0.0002654152,0.0001424704,0.00060884,0.0002647601,0.00004448737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004671757,"about_ca_system_score_gemma":0.0004901951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01933624,"about_ca_topic_score_gemma":0.02066686,"domain_scores_codex":[0.9995157,0.0002257944,0.00005858022,0.00006601166,0.00007717869,0.00005676956],"domain_scores_gemma":[0.998253,0.0003997915,0.0009894795,0.00009082004,0.0001254386,0.0001413951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007223298,0.000008572403,0.9982423,0.00002745108,0.00003100752,0.00006863225,0.0000944838,0.00005712023,0.00009558223,0.00001719079,0.00006570198,0.001219732],"study_design_scores_gemma":[0.000005484824,0.00004540828,0.9994698,0.00002570414,0.00002109746,0.00009298249,0.00008221797,0.000144848,0.00002960473,0.00001427553,0.00006700082,0.000001571051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998985,0.0005339712,0.00004531104,0.00006427879,0.000002570315,0.000005265959,0.000251283,0.00000166948,0.0001105073],"genre_scores_gemma":[0.9995599,0.0001863119,0.00007426645,0.00001739728,0.000002003218,0.000009024204,0.0001250208,6.094525e-7,0.00002547782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01933624,"threshold_uncertainty_score":0.03844732,"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."}}