{"id":"W4412150935","doi":"10.1038/s41586-025-09251-0","title":"A single-cell multi-omics atlas of rice","year":2025,"lang":"en","type":"article","venue":"Nature","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Biotechnology Research Institute","funders":"","keywords":"Atlas (anatomy); Computational biology; Biology; Computer science; Anatomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001938054,0.000520481,0.0006619006,0.0007380786,0.0005994798,0.0008207627,0.0004822984,0.0003513907,0.001903581],"category_scores_gemma":[0.0001634409,0.0003320584,0.0005500711,0.00151829,0.0002133462,0.0005155683,0.0005822842,0.0005750928,0.001892751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007505449,"about_ca_system_score_gemma":0.001324237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004968201,"about_ca_topic_score_gemma":0.01370799,"domain_scores_codex":[0.9998524,0.000006168944,0.000008842867,0.00006754708,0.00004230602,0.00002275831],"domain_scores_gemma":[0.9998719,0.00001154272,0.00002012481,0.00003867228,0.00003221307,0.00002554283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009243341,0.000008232617,0.00166724,0.0002072122,0.00003127314,0.0001207669,0.00009988393,0.0009184972,0.9813959,0.001188057,0.00438719,0.009883377],"study_design_scores_gemma":[0.00006082143,0.0001413206,0.1489466,0.00008705108,0.0002607065,0.001780669,0.0003871124,0.01626433,0.5035024,0.005037537,0.3234046,0.0001268723],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3550243,0.00445241,0.2003156,0.0009591425,0.000356946,0.0002207907,0.3971277,0.01661929,0.02492373],"genre_scores_gemma":[0.4116311,0.005783323,0.2498157,0.0006925326,0.00008948019,0.0005084953,0.3094816,0.002656273,0.01934139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004968201,"threshold_uncertainty_score":0.009878576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008989677364881899,"score_gpt":0.2407104729950574,"score_spread":0.2317207956301754,"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."}}