{"id":"W4310195186","doi":"10.1016/j.jplph.2022.153880","title":"Plant proteomics: From the molecular basis of biological processes to a systems biology perspective","year":2022,"lang":"en","type":"editorial","venue":"Journal of Plant Physiology","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; Agriculture and Agri-Food Canada","funders":"","keywords":"Proteomics; Biology; Systems biology; Computational biology; Perspective (graphical); Basis (linear algebra); Computer science; Biochemistry; Mathematics","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":[0.0005464595,0.0003992106,0.001016857,0.0001160877,0.00009904437,0.00001955719,0.001297338,0.0007798568,0.00004588876],"category_scores_gemma":[0.002424087,0.0002489135,0.0002896225,0.000159433,0.0001527038,0.000004377033,0.0004814212,0.0007556144,0.000002366587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007667741,"about_ca_system_score_gemma":0.001279201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003167586,"about_ca_topic_score_gemma":0.00002553625,"domain_scores_codex":[0.997481,0.0004408463,0.0007838403,0.0005735531,0.000337053,0.0003837171],"domain_scores_gemma":[0.9967539,0.0005445768,0.001353956,0.0004388372,0.0007843777,0.0001243896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001677602,0.000144432,0.00000394876,0.00008949899,0.0005549312,0.00002760682,0.0001589633,0.0001100012,0.8880694,0.0002668547,0.1088821,0.00001472971],"study_design_scores_gemma":[0.0006899436,0.004309034,0.000008023516,0.0001915667,0.0001766981,0.0001152079,0.00122222,0.000006667902,0.3718669,0.001552248,0.6194817,0.000379865],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4860088,0.01557453,0.003035962,0.0005379877,0.4529999,0.00194164,0.03972689,0.00002179654,0.0001524511],"genre_scores_gemma":[0.5431566,0.009791886,0.0009245832,0.0005673604,0.4395703,0.000390166,0.005380642,0.0001444039,0.00007407265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5162025,"threshold_uncertainty_score":0.9999963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00996640485713232,"score_gpt":0.2487028107924511,"score_spread":0.2387364059353188,"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."}}