{"id":"W4399282995","doi":"10.1101/2024.06.02.596756","title":"Temporal-spatial transcriptomics reveals key gene regulation for grain yield and quality in wheat","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Key (lock); Yield (engineering); Wheat grain; Grain yield; Quality (philosophy); Transcriptome; Grain quality; Agronomy; Gene; Biotechnology; Biology; Gene expression; Genetics; Ecology; Materials science; Physics","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":[0.00007793908,0.0001023834,0.0001774622,0.0002295899,0.0001068727,0.0002387422,0.00006324138,0.0001267882,0.0005300291],"category_scores_gemma":[0.00009367531,0.0001259523,0.0001738366,0.0003232885,0.00011817,0.0001210911,0.0001534932,0.0001547533,0.0001595802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001760841,"about_ca_system_score_gemma":0.0001290865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693431,"about_ca_topic_score_gemma":0.002479979,"domain_scores_codex":[0.9999356,0.000003418655,0.000003150702,0.00003367107,0.00001138918,0.00001277081],"domain_scores_gemma":[0.9999461,0.00001010072,0.0000172913,0.000005614923,0.00001197068,0.000008966291],"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":[0.0001399812,0.000005626763,0.004911747,0.00002041754,0.000009371694,0.00002388169,0.00002172218,0.00008435949,0.9929812,0.00006852846,0.00004796863,0.001685165],"study_design_scores_gemma":[0.00002436629,0.0001035304,0.8618402,0.000007862675,0.00005670766,0.0002004339,0.0001741033,0.004501534,0.1309064,0.0003303903,0.001841681,0.00001271709],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925931,0.000707006,0.00386772,0.00003831296,0.000009198785,0.000007087672,0.002138659,0.00003838381,0.0006004717],"genre_scores_gemma":[0.9945551,0.0002419779,0.001727683,0.00005011086,0.000006868282,0.00001541169,0.002195099,0.00001980898,0.001187838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001693431,"threshold_uncertainty_score":0.003367126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03382817459734708,"score_gpt":0.2381607764057281,"score_spread":0.204332601808381,"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."}}