{"id":"W2113109030","doi":"10.1677/joe-07-0248","title":"Caenorhabditis elegans LET-767 is able to metabolize androgens and estrogens and likely shares common ancestor with human types 3 and 12 17β-hydroxysteroid dehydrogenases","year":2007,"lang":"en","type":"article","venue":"Journal of Endocrinology","topic":"Hormonal Regulation and Hypertension","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Wilfrid Laurier University; Université Laval","funders":"Canadian Institutes of Health Research; Chinese Academy of Agricultural Sciences; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Estrone; Androstenedione; Amino acid; Biology; Enzyme; Hydroxysteroid; Caenorhabditis elegans; Biochemistry; Chemistry; Gene; Internal medicine; Estrogen; Androgen; Endocrinology; Dehydrogenase; Hormone; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000633348,0.0005787858,0.0002540151,0.000327929,0.0004554114,0.0002370609,0.0003595686,0.0003623031,0.001094586],"category_scores_gemma":[0.0001216085,0.0001636628,0.0002835315,0.0001438693,0.0003641451,0.0001300806,0.0002709887,0.000400893,0.0008365736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004737084,"about_ca_system_score_gemma":0.0003830536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002980235,"about_ca_topic_score_gemma":0.00494777,"domain_scores_codex":[0.9998982,0.000004996058,0.000008861355,0.00002383197,0.00004519328,0.00001901087],"domain_scores_gemma":[0.9998872,0.00001140684,0.00003298592,0.00001313311,0.00001762238,0.00003753576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001072494,0.00002212879,0.000657723,0.00005807574,0.00001029579,0.0002311816,0.0000146449,0.0001852975,0.9955875,0.0001869637,0.0001108367,0.002828045],"study_design_scores_gemma":[0.00003169745,0.0003336852,0.01807139,0.00002608055,0.00004998273,0.001299144,0.0000750035,0.001341831,0.9552725,0.0001857534,0.02327482,0.00003813315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907923,0.001213944,0.002707536,0.00009280162,0.00008788401,0.00005106497,0.001515819,0.000321662,0.00321716],"genre_scores_gemma":[0.9748846,0.001084645,0.008977378,0.0001095816,0.0000128215,0.00006654477,0.004671408,0.00008497256,0.01010809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002980235,"threshold_uncertainty_score":0.005925775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0228396067990634,"score_gpt":0.2950164962575768,"score_spread":0.2721768894585134,"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."}}