{"id":"W4404990499","doi":"10.1111/nph.20303","title":"The promising role of proteomes and metabolomes in defining the single‐cell landscapes of plants","year":2024,"lang":"en","type":"review","venue":"New Phytologist","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Division of Molecular and Cellular Biosciences; Natural Sciences and Engineering Research Council of Canada; Biological and Environmental Research; Office of Science; U.S. Department of Energy","keywords":"Computational biology; Genomics; Proteomics; Context (archaeology); Proteome; Biology; Data science; Software deployment; Metabolomics; Computer science; Genome; Bioinformatics; Gene; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001285349,0.001179863,0.001546844,0.002990249,0.0003811517,0.001690379,0.001167324,0.00201119,0.002331658],"category_scores_gemma":[0.001143733,0.0004034062,0.0005888725,0.002602274,0.001423607,0.003589934,0.001300504,0.003862376,0.002021871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320864,"about_ca_system_score_gemma":0.00149361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554568,"about_ca_topic_score_gemma":0.002289535,"domain_scores_codex":[0.9997787,0.00004051531,0.00002103667,0.00004750703,0.00008649581,0.00002570061],"domain_scores_gemma":[0.9991435,0.000459191,0.00007034868,0.00003766502,0.0001999702,0.00008930215],"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":[0.00007398165,0.00005500839,0.0001882217,0.01100849,0.00009919555,0.0001987392,0.00007959677,0.0006619652,0.004187908,0.01959195,0.03353159,0.9303234],"study_design_scores_gemma":[0.0000092086,0.00006191499,0.0006568672,0.001984759,0.00005922766,0.0006492488,0.00005877706,0.0001396431,0.0006608505,0.007527401,0.9881635,0.00002858826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006628639,0.9976823,0.0004309917,0.0005263077,0.0003099109,0.000003437055,0.00002115444,0.00001326054,0.0009463032],"genre_scores_gemma":[0.0004332317,0.9982026,0.0003639187,0.0003378946,0.0002271665,0.000005307556,0.00002897989,0.000002373557,0.000398416],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002990249,"threshold_uncertainty_score":0.009583592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337021054061127,"score_gpt":0.2728613247743484,"score_spread":0.2494911142337372,"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."}}