{"id":"W1980389493","doi":"10.1159/000077586","title":"Relation between Maternal Body Composition and Birth Weight","year":2004,"lang":"en","type":"article","venue":"Neonatology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Birth weight; Body mass index; Bioelectrical impedance analysis; Medicine; Gestational age; Weight gain; Pregnancy; Body water; Obstetrics; Mass index; Fat mass; Animal science; Linear regression; Classification of obesity; Body weight; Endocrinology; Biology; Mathematics; Statistics","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":[0.0000852122,0.00007683438,0.0001944652,0.00009468265,0.00008822938,0.000004411716,0.00002470324,0.0001394552,0.00005627633],"category_scores_gemma":[0.000005014044,0.0000684579,0.00001649014,0.00005799337,0.00005607478,0.00004221925,0.00001680324,0.0001636357,0.00007368872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006394743,"about_ca_system_score_gemma":0.00009285891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009200486,"about_ca_topic_score_gemma":0.00001428449,"domain_scores_codex":[0.9993494,0.00002288458,0.0001787462,0.0001620038,0.00009525748,0.0001917576],"domain_scores_gemma":[0.9997083,0.00001840429,0.00005496705,0.0000801684,0.00003223565,0.0001059413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007567529,0.00002560679,0.8179049,0.00008042066,0.00002600687,0.00005103133,0.0002247634,3.484608e-7,0.0009813308,0.1769445,0.00008735127,0.003598085],"study_design_scores_gemma":[0.001845504,0.0001318839,0.9610094,0.000043116,0.00002505253,0.0004470355,0.000008971587,0.000007856713,0.002216669,0.03170259,0.002497356,0.00006457966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893481,0.0002406275,0.001312116,0.005590657,0.0001733906,0.0001465173,0.000003041678,0.00005686474,0.003128689],"genre_scores_gemma":[0.9938369,0.002185729,0.002836709,0.0009200209,0.0001221808,0.000004500837,0.00005172277,0.000009932047,0.0000323049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1452419,"threshold_uncertainty_score":0.2791632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488539962281872,"score_gpt":0.2809249179871319,"score_spread":0.2660395183643132,"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."}}