{"id":"W2045431155","doi":"10.1002/ajhb.20534","title":"Anthropometry and body composition do not predict bioavailable androgen or progesterone concentration in adolescent girls","year":2006,"lang":"en","type":"article","venue":"American Journal of Human Biology","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Anthropometry; Pubic hair; Medicine; Endocrinology; Body mass index; Internal medicine; Testosterone (patch); Cohort; Population; Androgen; Physiology; Waist; Breast development; Waist–hip ratio; Body fat percentage; Hormone","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":[0.0001903157,0.0001381974,0.000545442,0.0001532102,0.00005638424,0.00002057105,0.00006869985,0.00005510181,0.000045673],"category_scores_gemma":[0.00001548371,0.0001018584,0.00005283655,0.0002159052,0.0007415191,0.0001153619,0.00003322166,0.0002565884,0.000003800297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081978,"about_ca_system_score_gemma":0.00005586011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001166114,"about_ca_topic_score_gemma":0.00001712327,"domain_scores_codex":[0.9988432,0.0001555317,0.000433758,0.0001884189,0.0001405243,0.0002385752],"domain_scores_gemma":[0.9992058,0.0000567218,0.0004184475,0.000109369,0.0001046987,0.0001049219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004454597,0.00302713,0.8562562,0.00003251769,0.00004526342,0.00007127612,0.00003333336,0.000001310674,0.1372496,0.0003543212,0.0001515187,0.002332059],"study_design_scores_gemma":[0.002554575,0.009754293,0.9557229,0.0001873124,0.00008533023,0.0004217238,0.000115821,0.00003923592,0.03056815,0.0002552076,0.0001584724,0.0001369384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988259,0.0002067228,0.00005170884,0.0005115508,0.00006089247,0.0002178742,0.00001053332,0.00001226912,0.0001025171],"genre_scores_gemma":[0.9991527,0.00007813558,0.0002271033,0.0001957166,0.0002962192,0.000002611879,0.00002020627,0.0000124092,0.00001495151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1066815,"threshold_uncertainty_score":0.4153665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767567627863632,"score_gpt":0.3037978390148875,"score_spread":0.2861221627362512,"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."}}