{"id":"W2599521265","doi":"10.1016/j.jchromb.2017.03.025","title":"Impact of sample extraction on the accurate measurement of progesterone in human serum by liquid chromatography tandem mass spectrometry","year":2017,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Theratechnologies (Canada); Wilfrid Laurier University","funders":"","keywords":"Chemistry; Chromatography; Mass spectrometry; Extraction (chemistry); Tandem mass spectrometry; Liquid chromatography–mass spectrometry; Tandem","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":[0.00131078,0.0002322534,0.0007856013,0.0006098662,0.0001955208,0.0000259047,0.0002772813,0.0000814708,0.00004139088],"category_scores_gemma":[0.0002661568,0.0001283306,0.0007306918,0.0004106826,0.0003667916,0.000215394,0.00003484622,0.000393361,4.672877e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008859896,"about_ca_system_score_gemma":0.00009610315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009875801,"about_ca_topic_score_gemma":0.00001523916,"domain_scores_codex":[0.9976469,0.0001000291,0.0008396461,0.0001970134,0.0009545528,0.00026185],"domain_scores_gemma":[0.9970614,0.00007739502,0.001713379,0.0004972393,0.0005484138,0.0001021293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005597067,0.0007372986,0.4378225,0.00009193557,0.00112137,0.00001669327,0.0001684154,0.000002856411,0.5587486,0.00004761153,0.0005225373,0.0001604704],"study_design_scores_gemma":[0.001356524,0.00484313,0.827273,0.00060413,0.0001440176,0.00005871095,0.0002671563,0.000001208444,0.1649775,0.0003081983,0.0000656768,0.000100751],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961499,0.001883517,0.00007863671,0.0007341377,0.0001161005,0.0003490488,0.00002219849,0.000007299892,0.0006591852],"genre_scores_gemma":[0.9990939,0.0005239326,0.0001850728,0.00001123504,0.0001560257,0.000005931028,0.000001292785,0.0000189675,0.000003676172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3937711,"threshold_uncertainty_score":0.523317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04192292936403159,"score_gpt":0.3331086712830735,"score_spread":0.2911857419190419,"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."}}