{"id":"W2913186251","doi":"10.3390/cells8020102","title":"Integration of Transcriptome, Proteome, and Metabolome Provides Insights into How Calcium Enhances the Mechanical Strength of Herbaceous Peony Inflorescence Stems","year":2019,"lang":"en","type":"article","venue":"Cells","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Yangzhou University; Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Metabolome; Transcriptome; Inflorescence; Proteome; Biology; Lignin; Botany; Metabolomics; Herbaceous plant; Meristem; Biochemistry; Cell biology; Gene; Gene expression; Bioinformatics","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":[],"consensus_categories":[],"category_scores_codex":[0.000152071,0.0001284534,0.0002369146,0.00004616395,0.00002785267,0.000016964,0.0002192961,0.0001169525,0.00001080125],"category_scores_gemma":[0.00004424547,0.00007941762,0.00007909123,0.0001203484,0.00009883606,0.000009812397,0.00005848614,0.00008503616,0.000001885447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004129839,"about_ca_system_score_gemma":0.00004448892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003529164,"about_ca_topic_score_gemma":0.00005847142,"domain_scores_codex":[0.9991115,0.0001171815,0.0002267869,0.0002583748,0.0001751388,0.0001109606],"domain_scores_gemma":[0.9993493,0.00002816743,0.0001768794,0.0003029431,0.00009864099,0.00004408419],"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":[0.00006543577,0.00003120763,0.00006115157,0.00007015594,0.00005345181,3.137309e-7,0.0003336736,0.00002102977,0.9984975,0.00006016122,0.0002598272,0.0005461067],"study_design_scores_gemma":[0.000204944,0.0001873354,0.0001045472,0.00003856339,0.00003535537,0.000001151284,0.0003991727,0.0007233268,0.9938608,0.00003060401,0.004319496,0.00009464335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995653,0.001009991,0.002687104,0.00008104667,0.0000991646,0.0003636891,0.00001190812,0.000004514073,0.00008953287],"genre_scores_gemma":[0.9977394,0.0004491907,0.0008063146,0.00002679875,0.00003357783,0.00002062297,0.00002378054,0.000008538447,0.0008918121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004636625,"threshold_uncertainty_score":0.3238556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008012154861235264,"score_gpt":0.2266149853545798,"score_spread":0.2186028304933445,"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."}}