{"id":"W4220794658","doi":"10.1016/j.vascn.2022.107169","title":"Optimization of a method to detect levothyroxine and related compounds in serum and urine by liquid chromatography coupled to triple quadrupole mass spectrometry","year":2022,"lang":"en","type":"article","venue":"Journal of Pharmacological and Toxicological Methods","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chemistry; Chromatography; Ammonium formate; Triple quadrupole mass spectrometer; Mass spectrometry; Solvent; Formic acid; Analyte; Selected reaction monitoring; Analytical Chemistry (journal); Tandem mass spectrometry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002397497,0.0002281934,0.0007544785,0.0004037033,0.0001554139,0.000029467,0.000256222,0.0001620369,0.004070859],"category_scores_gemma":[0.0002337882,0.0001762408,0.0001114106,0.001235278,0.0001009193,0.00006205306,0.0003467179,0.0007132381,1.624671e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001002001,"about_ca_system_score_gemma":0.00002128286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000069948,"about_ca_topic_score_gemma":3.789806e-7,"domain_scores_codex":[0.9976289,0.0005659593,0.0008574931,0.000373214,0.0002628498,0.0003116106],"domain_scores_gemma":[0.9982627,0.0007944219,0.0003971572,0.0001005488,0.00006738887,0.0003777911],"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":[0.0008071547,0.0004207105,0.0006040314,0.00003235968,0.00008874114,0.00003009994,0.00004083047,0.000763402,0.9933798,0.0004081495,0.0002874053,0.003137331],"study_design_scores_gemma":[0.0052403,0.01025483,0.004708166,0.00004178885,0.000345052,0.0007877682,0.0003585271,0.01834756,0.9415798,0.01048615,0.007139649,0.0007104287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8310915,0.001241899,0.1640174,0.002381755,0.00004748438,0.0003622985,0.00005172011,0.00004804097,0.0007579261],"genre_scores_gemma":[0.5372276,0.0002767516,0.4620817,0.0002680521,0.00002333676,0.00005968954,0.000002020145,0.00000950196,0.00005127571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2980643,"threshold_uncertainty_score":0.9968396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202842450611136,"score_gpt":0.3587165479377095,"score_spread":0.3384323028765959,"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."}}