{"id":"W3082433489","doi":"10.1515/jpm-2020-0119","title":"Individualized sex-specific birth weight percentiles for gestational age based on maternal height and weight","year":2020,"lang":"en","type":"article","venue":"Journal of Perinatal Medicine","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McMaster University","funders":"","keywords":"Percentile; Medicine; Birth weight; Gestational age; Anthropometry; Incidence (geometry); Small for gestational age; Pregnancy; Low birth weight; Obstetrics; Pediatrics; Internal medicine; Statistics; Mathematics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004025511,0.000189555,0.0004583199,0.0003111908,0.00008368964,0.00003159351,0.0001409006,0.00004951887,0.00112886],"category_scores_gemma":[0.0002879363,0.0001283335,0.0001059324,0.0001509754,0.0001786586,0.0001210255,0.00003779131,0.0002781774,0.000009048114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000644747,"about_ca_system_score_gemma":0.00009068401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002656908,"about_ca_topic_score_gemma":4.992683e-7,"domain_scores_codex":[0.9978763,0.00005342375,0.000500451,0.00022174,0.001075181,0.0002728331],"domain_scores_gemma":[0.9986267,0.0002599882,0.0001992913,0.0001036255,0.0002787414,0.0005316376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03846296,0.002289001,0.1217286,0.01484498,0.002711712,0.01417129,0.01057182,0.0004775567,0.06518006,0.02738679,0.2981766,0.4039986],"study_design_scores_gemma":[0.01693793,0.007166408,0.2630647,0.0007226068,0.0001180667,0.0001653922,0.0004338898,0.003350652,0.001715532,0.0004762031,0.7056476,0.0002009688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9279888,0.001934882,0.005365731,0.06132294,0.0004353165,0.0008618037,0.0001792878,0.00003132696,0.001879936],"genre_scores_gemma":[0.9854143,0.0007778296,0.008139079,0.003395012,0.001285819,0.000020112,0.000103722,0.00003349608,0.0008305806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.407471,"threshold_uncertainty_score":0.9997842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000583220431471,"score_gpt":0.2979048247143969,"score_spread":0.2678989925100823,"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."}}