{"id":"W2947139618","doi":"10.1016/j.clinms.2019.05.006","title":"A brief update on mass spectrometry applications to routine clinical endocrinology","year":2019,"lang":"en","type":"review","venue":"Clinical mass spectrometry","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mass spectrometry; Computational biology; Immunoassay; Standardization; Workflow; Computer science; Chemistry; Medicine; Chromatography; Biology","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002619576,0.001330526,0.009340879,0.001359475,0.0001959618,0.0000562362,0.001063183,0.001277459,0.0007456744],"category_scores_gemma":[0.003937791,0.000962805,0.003821726,0.002979218,0.0007909546,0.00005845292,0.0006547088,0.005062534,0.01425016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004934742,"about_ca_system_score_gemma":0.0006944069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005137996,"about_ca_topic_score_gemma":0.00000152045,"domain_scores_codex":[0.988432,0.0009377952,0.004477879,0.003664559,0.0009035913,0.001584193],"domain_scores_gemma":[0.9907081,0.003406406,0.001199179,0.003290918,0.0003383549,0.00105701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006477262,0.004193518,0.004718579,0.008981356,0.006309771,0.0005373393,0.000008921113,2.07537e-7,0.00001763706,0.01529672,0.01854796,0.9407403],"study_design_scores_gemma":[0.001898805,0.004526106,0.004488162,0.002214734,0.003577516,0.0001863978,0.00003427985,6.786477e-7,0.000006116025,0.0008496587,0.9812806,0.0009369962],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001100513,0.9549026,0.002334362,0.004006179,0.002638246,0.005164856,0.0002487602,0.0003757129,0.03021926],"genre_scores_gemma":[0.0004119702,0.9656525,0.01232765,0.001819331,0.01092978,0.0004945835,0.0002790048,0.0002438806,0.00784126],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9627326,"threshold_uncertainty_score":0.9999446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542651884063184,"score_gpt":0.4700687684570662,"score_spread":0.3158035800507477,"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."}}