{"id":"W572171421","doi":"10.1385/159745026x","title":"New and Emerging Proteomic Techniques","year":2006,"lang":"en","type":"book","venue":"Humana Press eBooks","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Irvine; Universität Zürich; West Virginia University; University of Ottawa; W. M. Keck Foundation; University of Minnesota; Stowers Institute for Medical Research; Van Andel Research Institute; Universiteit Leiden; Yale University","keywords":"Data science; Computer science; Proteomics; Biology","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":[0.00005029043,0.0004292696,0.0003801007,0.00007474904,0.0001785713,0.00008582314,0.0003856342,0.00048867,0.0001045962],"category_scores_gemma":[0.000003337067,0.0004691566,0.000107997,0.000005522521,0.0001071703,0.00004260194,0.0002741574,0.0006416184,0.000003637615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273866,"about_ca_system_score_gemma":0.0001117982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002550004,"about_ca_topic_score_gemma":0.00001618242,"domain_scores_codex":[0.9985344,0.00000525761,0.0003919922,0.0005961654,0.0001767968,0.0002953401],"domain_scores_gemma":[0.9987792,0.00001846426,0.0003273782,0.0007259115,0.00004436943,0.0001046507],"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":[0.00002233974,0.00001930655,9.457674e-7,0.0009679965,0.00008772603,0.00001893054,0.0001462871,0.000001501704,0.01705689,0.2409716,0.3346118,0.4060946],"study_design_scores_gemma":[0.00009635161,0.000008895287,1.925471e-7,0.0002871094,0.00005205518,0.000008322321,8.526645e-7,0.000007438942,0.1308434,0.07777397,0.7905122,0.0004092047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002227303,0.00159296,0.01231058,0.00001275235,0.00001191173,0.0007467454,0.00006164915,0.0009661331,0.984275],"genre_scores_gemma":[0.0000338814,0.0002634501,0.06080863,0.00003223781,0.0006675079,0.0007225487,0.0001249549,0.0001469451,0.9371998],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4559004,"threshold_uncertainty_score":0.999776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248997069925218,"score_gpt":0.2771928278773638,"score_spread":0.2547028571781116,"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."}}