{"id":"W2946195070","doi":"10.1016/j.clinms.2019.05.003","title":"MALDI-MS: Emerging roles in pathology and laboratory medicine","year":2019,"lang":"en","type":"review","venue":"Clinical mass spectrometry","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia; Providence Health Care","funders":"","keywords":"Medical laboratory; Pathology; Tissue sample; Anatomical pathology; Computational biology; Medicine; Biology; Biomedical engineering; Immunohistochemistry","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"],"consensus_categories":[],"category_scores_codex":[0.001722215,0.0003280505,0.00148565,0.0002355173,0.0000349024,0.00002706894,0.0003168627,0.0007759134,0.0001815344],"category_scores_gemma":[0.002687451,0.0002819544,0.0002232188,0.000378356,0.00025798,0.000004397526,0.0001978291,0.0005891498,0.00005684375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003155996,"about_ca_system_score_gemma":0.0001641337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004801592,"about_ca_topic_score_gemma":0.0000218093,"domain_scores_codex":[0.9966967,0.000641892,0.001286701,0.0009545998,0.0001094825,0.0003106928],"domain_scores_gemma":[0.9983329,0.0003103814,0.000434893,0.0007280453,0.00006614886,0.0001276209],"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":[0.00005610521,0.0002966639,0.01135909,0.01005211,0.0002912457,0.0001260856,0.00003537705,2.008588e-7,0.01534889,0.0006182097,0.002354454,0.9594616],"study_design_scores_gemma":[0.0005276161,0.0003553246,0.002479246,0.001679543,0.0002047966,0.00003406651,0.00003956907,0.000002510018,0.00001853139,0.0001212876,0.994125,0.0004124976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00730049,0.990592,0.00006465049,0.0001446208,0.000831218,0.0003635762,0.00003494243,0.00002160036,0.0006469255],"genre_scores_gemma":[0.001210299,0.996159,0.000730128,0.000166991,0.001007228,0.00002038989,0.0002604557,0.0000494046,0.0003961666],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9917706,"threshold_uncertainty_score":0.9999633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06522680239543453,"score_gpt":0.4037308642337716,"score_spread":0.338504061838337,"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."}}