{"id":"W2761262936","doi":"10.1038/ijo.2017.250","title":"Which anthropometric measures best reflect neonatal adiposity?","year":2017,"lang":"en","type":"article","venue":"International Journal of Obesity","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"British Heart Foundation; Medical Research Council; National Institute for Health and Care Research","keywords":"Anthropometry; Medicine; Body mass index; Classification of obesity; Adipose tissue; Internal medicine; Endocrinology; Obstetrics; Fat mass","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00544579,0.0009067588,0.001869662,0.001584019,0.0003718444,0.002348349,0.001132959,0.001565105,0.0009743195],"category_scores_gemma":[0.02299235,0.0003236931,0.000600143,0.001953304,0.0006847,0.002241446,0.0006455908,0.001480823,0.0005726012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004970166,"about_ca_system_score_gemma":0.00104037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003417935,"about_ca_topic_score_gemma":0.006048714,"domain_scores_codex":[0.9976106,0.001266088,0.0003859304,0.000258142,0.0003078156,0.0001714581],"domain_scores_gemma":[0.9930518,0.002971231,0.0019325,0.0003648861,0.001322485,0.0003572181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000397696,0.0001627396,0.9097664,0.0004364005,0.0003597627,0.0001588354,0.0003531929,0.0004614265,0.001125407,0.0005639122,0.001869885,0.08434431],"study_design_scores_gemma":[0.00007463201,0.001148288,0.9565676,0.003812495,0.00137232,0.002354327,0.006177943,0.008176171,0.006569328,0.003635062,0.009991755,0.0001200181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8864735,0.06057979,0.02136876,0.01573087,0.001504933,0.0001452817,0.002058524,0.0001941942,0.01194426],"genre_scores_gemma":[0.9608895,0.01959132,0.01540686,0.001637135,0.0006207116,0.0001701943,0.0006642708,0.00006237099,0.000957602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00544579,"threshold_uncertainty_score":0.02880043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05357897437381631,"score_gpt":0.3766010420992139,"score_spread":0.3230220677253975,"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."}}