{"id":"W4386693427","doi":"10.1016/j.mcpro.2023.100638","title":"Quantitative Time-Course Analysis of Osmotic and Salt Stress in Arabidopsis thaliana Using Short Gradient Multi-CV FAIMSpro BoxCar DIA","year":2023,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Proteome; Arabidopsis; Arabidopsis thaliana; Seedling; Shoot; Osmotic shock; Proteomics; Quantitative proteomics; Biology; Chemistry; Computational biology; Botany; Mutant; Bioinformatics; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000281001,0.000301688,0.0005570981,0.0003725778,0.00009260729,0.00003550714,0.0002940304,0.0001954994,0.00002323658],"category_scores_gemma":[0.00005786577,0.0003366278,0.0002261563,0.001406771,0.0001638048,0.00007954598,0.0001846056,0.0002894794,0.000004670155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001117462,"about_ca_system_score_gemma":0.00005368003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001970636,"about_ca_topic_score_gemma":0.00004045033,"domain_scores_codex":[0.9981214,0.00005370858,0.0005423453,0.0006182187,0.0002511504,0.0004132016],"domain_scores_gemma":[0.9988534,0.00004684137,0.0002172172,0.000663797,0.0001008544,0.0001178887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002053264,0.0001634405,0.006861927,0.0001137059,0.0003290559,0.00005438135,0.000236177,0.01548991,0.9759647,0.0005515088,0.000002483153,0.0002121458],"study_design_scores_gemma":[0.000206825,0.00002068646,0.0004064891,0.00006767894,0.0004080664,0.000001464698,0.0001650907,0.2461757,0.7517828,0.0004992644,0.000006165395,0.0002597911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8485026,0.0002674591,0.1502375,0.00004025111,0.000009057327,0.0006052152,0.0001720496,0.00009753131,0.0000683942],"genre_scores_gemma":[0.8557997,0.00008378999,0.1434713,0.00001195521,0.000008564743,0.0002008512,0.0002746539,0.00006266811,0.00008648875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2306858,"threshold_uncertainty_score":0.9999086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433035736228259,"score_gpt":0.3003092441628535,"score_spread":0.2759788868005709,"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."}}