{"id":"W2096487513","doi":"10.1093/rheumatology/keh694","title":"Rheumatology: a close encounter with proteomics","year":2005,"lang":"en","type":"review","venue":"Lara D. Veeken","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vlaamse regering; Canadian Institute for Theoretical Astrophysics","keywords":"Proteomics; Proteome; Medicine; Rheumatology; Biomedicine; Internal medicine; Function (biology); Bioinformatics; Computational biology; Biology; Cell biology; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008413645,0.0005253296,0.001260635,0.00006797731,0.0001102602,0.000052422,0.0006424954,0.0006203889,0.0003262701],"category_scores_gemma":[0.00001579582,0.0004107677,0.0002741981,0.0001699555,0.0001083854,0.00008372387,0.0001520123,0.0008468169,0.0001791263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001828972,"about_ca_system_score_gemma":0.0002186185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001335894,"about_ca_topic_score_gemma":0.00001026246,"domain_scores_codex":[0.9982203,0.00001753341,0.0005596721,0.0006412835,0.0001612133,0.0004000514],"domain_scores_gemma":[0.9982132,0.00006095337,0.0005019041,0.001067247,0.00005486439,0.0001018886],"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":[0.00001909854,0.0001423519,0.00001544931,0.01113763,0.0001991107,0.00002279268,0.00004161909,0.000001037202,0.00002784787,0.004715987,0.001272894,0.9824042],"study_design_scores_gemma":[0.0001583461,0.00001629553,3.12636e-8,0.005230027,0.0002161988,0.0003035891,0.000004526909,0.000005791368,0.0001316943,0.0006093914,0.9928203,0.0005037599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003264942,0.9848667,0.004097546,0.00005557635,0.00001859177,0.001075864,0.0002367538,0.0004116019,0.009204704],"genre_scores_gemma":[0.000004705908,0.9158524,0.07842674,0.00003653474,0.0001521044,0.002956732,0.0002959135,0.0001379652,0.002136866],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9915475,"threshold_uncertainty_score":0.9998344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015940292915326,"score_gpt":0.3150968255841853,"score_spread":0.294937422655032,"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."}}