{"id":"W2902936672","doi":"10.1016/j.clinms.2018.11.005","title":"Comparison of four clinically validated testosterone LC-MS/MS assays: Harmonization is an attainable goal","year":2018,"lang":"en","type":"article","venue":"Clinical mass spectrometry","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Chromatography; Calibration; Testosterone (patch); Liquid chromatography–mass spectrometry; NIST; Chemistry; Mass spectrometry; Calibration curve; Mathematics; Medicine; Detection limit; Computer science; Statistics; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03487187,0.001066698,0.0009071096,0.001627906,0.0008277754,0.002134149,0.002245853,0.001479908,0.0008116764],"category_scores_gemma":[0.03169062,0.0005590796,0.001162215,0.001251134,0.001758744,0.0006885267,0.001464848,0.0008575252,0.000823481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124438,"about_ca_system_score_gemma":0.00217344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001543648,"about_ca_topic_score_gemma":0.001785373,"domain_scores_codex":[0.9537235,0.01988729,0.00328772,0.005139131,0.01748059,0.0004816208],"domain_scores_gemma":[0.9821138,0.005190723,0.002997325,0.0031106,0.006385323,0.0002023621],"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":[0.003300052,0.001082441,0.2289413,0.002290525,0.003399774,0.0002836198,0.001621356,0.008622995,0.4680205,0.003362641,0.006116916,0.2729578],"study_design_scores_gemma":[0.0003977289,0.005938043,0.2918111,0.0005070711,0.001748994,0.002131179,0.00058599,0.01746344,0.6491081,0.003079079,0.02698182,0.0002475173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7508469,0.01587688,0.2137328,0.001998128,0.0007041981,0.001966598,0.002134044,0.001665327,0.01107515],"genre_scores_gemma":[0.8646558,0.001144608,0.1277758,0.001057251,0.0001262235,0.0006133646,0.002476703,0.0001601749,0.001989952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03487187,"threshold_uncertainty_score":0.1844223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1357230269494034,"score_gpt":0.4299269009031734,"score_spread":0.29420387395377,"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."}}