{"id":"W4221043792","doi":"10.1055/a-1768-0709","title":"An LC-MS/MS Methodological Framework for Steroid Hormone Measurement from Human Serum","year":2022,"lang":"en","type":"article","venue":"Hormone and Metabolic Research","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada); McGill University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Dehydroepiandrosterone; Analyte; Estrone; Androgen; Chemistry; Androstenedione; Steroid; Estrogen; Testosterone (patch); Endocrinology; Internal medicine; Chromatography; Hormone; Steroid hormone; Mass spectrometry; Liquid chromatography–mass spectrometry; Sex steroid; Medicine; Biochemistry","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":[0.003336842,0.001425752,0.0008348607,0.002483563,0.0007340249,0.001335334,0.001335302,0.00132761,0.001074584],"category_scores_gemma":[0.002984524,0.0006926859,0.0007235945,0.000862766,0.001106202,0.000887273,0.001573361,0.001604126,0.001689918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009265146,"about_ca_system_score_gemma":0.002706509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001896917,"about_ca_topic_score_gemma":0.003105289,"domain_scores_codex":[0.9972041,0.0008034677,0.0002392175,0.0005454763,0.001110795,0.00009706244],"domain_scores_gemma":[0.9989466,0.000271388,0.0001359258,0.000111643,0.0004624794,0.00007201182],"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":[0.0001343951,0.0001328291,0.00142819,0.0005898731,0.0001056403,0.0004647809,0.00008150529,0.00115779,0.9303611,0.004172016,0.001011976,0.06035983],"study_design_scores_gemma":[0.00006050888,0.0007667498,0.005536841,0.0003466185,0.0001629195,0.003034161,0.0001600946,0.04967156,0.8876173,0.007640622,0.044791,0.0002115616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0203099,0.006919627,0.9650403,0.0006727342,0.0002468065,0.0009150197,0.0008158636,0.002075765,0.003003977],"genre_scores_gemma":[0.1084632,0.004039888,0.8818964,0.00122213,0.0001612548,0.001329569,0.0006034005,0.0001979036,0.002086135],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003336842,"threshold_uncertainty_score":0.01764715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.413846971861437,"score_gpt":0.4789848631447271,"score_spread":0.06513789128329012,"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."}}