{"id":"W3048732918","doi":"10.1515/jpm-2020-0085","title":"Individualized birth length and head circumference percentile charts based on maternal body weight and height","year":2020,"lang":"en","type":"article","venue":"Journal of Perinatal Medicine","topic":"Birth, Development, and Health","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo; Queen's University","funders":"","keywords":"Percentile; Medicine; Birth weight; Gestational age; Head circumference; Obstetrics; Pregnancy; Pediatrics; Circumference; Crown-rump length; Gestation; 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":[0.0004363652,0.0002345653,0.0007059749,0.0002275863,0.0001099223,0.00002145489,0.0001069279,0.00009477165,0.0008016407],"category_scores_gemma":[0.0001797582,0.0001568326,0.00005017293,0.0001470587,0.0001950923,0.0001261063,0.00004206539,0.0005574484,0.000007803929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005655954,"about_ca_system_score_gemma":0.0002267891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002128112,"about_ca_topic_score_gemma":0.000002556775,"domain_scores_codex":[0.9980814,0.00006188898,0.000602525,0.000256377,0.0007057317,0.0002920294],"domain_scores_gemma":[0.9985468,0.00006924509,0.0002943449,0.0001234412,0.0001461432,0.0008199639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009323673,0.0006741699,0.8426686,0.007111466,0.000569211,0.006489994,0.01788573,0.000001600322,0.03129221,0.008843401,0.009597202,0.06554274],"study_design_scores_gemma":[0.01523199,0.007515815,0.942848,0.00231117,0.000155117,0.002333785,0.0005566751,0.001254966,0.001337394,0.0003155344,0.02586928,0.0002702576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684223,0.001680536,0.0001720206,0.02752762,0.0003641775,0.0002175649,0.00001701903,0.00002308731,0.001575663],"genre_scores_gemma":[0.9783283,0.01357352,0.0009724726,0.00618062,0.0008681802,0.000002446466,0.000006821839,0.00002532964,0.00004233156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1001794,"threshold_uncertainty_score":0.8777403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075909756783318,"score_gpt":0.3011761765632405,"score_spread":0.2704170789954073,"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."}}