{"id":"W2480271126","doi":"10.1017/thg.2016.57","title":"The Impact of Gender on Anthropometric Measures of Twins","year":2016,"lang":"en","type":"article","venue":"Twin Research and Human Genetics","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Anthropometry; Medicine; Birth weight; Gestational age; Obstetrics; Birth order; Population; Confounding; Gestation; Pregnancy; Demography; Biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006627361,0.00008040678,0.0001918748,0.0002306456,0.0002241797,0.00000780547,0.0001221332,0.00004483239,0.00006292894],"category_scores_gemma":[0.000264691,0.00003565564,0.00006990056,0.0002577487,0.001001366,0.00001196324,0.00009454009,0.0001302806,0.00000468894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002916791,"about_ca_system_score_gemma":0.00008215543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006149604,"about_ca_topic_score_gemma":0.00001902012,"domain_scores_codex":[0.9987763,0.0001048627,0.0001824845,0.0001332578,0.0005151997,0.0002878596],"domain_scores_gemma":[0.9987292,0.000489517,0.00004235287,0.0003444045,0.0003018382,0.00009270465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001155928,0.0009842267,0.7527362,0.0003467618,0.00105913,0.00001862063,0.002172156,0.000003585432,0.1297127,0.01027221,0.01556648,0.08597207],"study_design_scores_gemma":[0.001171152,0.005576173,0.9513254,0.0002197249,0.00001970598,0.000004215503,0.0001916519,0.000003098475,0.03310249,0.007265643,0.001053458,0.00006729545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762856,0.01310436,0.00002060217,0.0001734219,0.00001690855,0.0002319737,0.00001565757,0.000005965298,0.01014545],"genre_scores_gemma":[0.991655,0.007569604,0.00003163317,0.000003963952,0.00006147973,0.000006485407,6.106342e-7,0.000009195511,0.0006620238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1985892,"threshold_uncertainty_score":0.3689575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2798341743249325,"score_gpt":0.4575932440930129,"score_spread":0.1777590697680804,"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."}}