{"id":"W4322625659","doi":"10.1016/j.ajcnut.2022.09.001","title":"Weight gain in pregnancy and infant birthweight after the onset of the COVID-19 pandemic: an interrupted time series analysis","year":2023,"lang":"en","type":"article","venue":"American Journal of Clinical Nutrition","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; BC Children's Hospital; University of Toronto; University of British Columbia","funders":"","keywords":"Weight gain; Medicine; Pregnancy; Gestational age; Birth weight; Pandemic; Cohort; Obstetrics; Coronavirus disease 2019 (COVID-19); Pediatrics; Body weight; Internal medicine; Disease; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002333506,0.0001325377,0.000786496,0.0004691056,0.00004772659,0.00001648854,0.0001676568,0.00007059261,0.00007282478],"category_scores_gemma":[0.003558635,0.00007294401,0.0003778182,0.002164244,0.0008120183,0.000200435,0.00006131412,0.0005109237,0.000003117499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008211723,"about_ca_system_score_gemma":0.0002314949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001742002,"about_ca_topic_score_gemma":0.0001789789,"domain_scores_codex":[0.9969425,0.0009390177,0.001308042,0.0002399648,0.0003912071,0.0001792549],"domain_scores_gemma":[0.9970355,0.001107057,0.0009745688,0.0004574871,0.0001844706,0.0002408963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004356549,0.0004169314,0.9782748,0.00007402466,0.000343224,0.00006025419,0.0007508973,0.00003503149,0.000422803,0.000004420104,0.0004439483,0.01481711],"study_design_scores_gemma":[0.002545142,0.002024725,0.9880271,0.0005287577,0.0007152392,0.0004526574,0.0007456474,0.000424844,0.00009497747,0.0006516728,0.003684347,0.0001048765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708347,0.0002989555,0.0001251999,0.02826034,0.0001133596,0.0003102125,0.0000265381,0.00002183308,0.000008827251],"genre_scores_gemma":[0.9947864,0.00245476,0.0002508563,0.002195578,0.0002151577,0.0000151556,0.00001278811,0.00001354264,0.00005574802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02606476,"threshold_uncertainty_score":0.4260275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05818054822906086,"score_gpt":0.4158895188113945,"score_spread":0.3577089705823336,"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."}}