{"id":"W4413443873","doi":"10.1002/advs.202506242","title":"A Natural Major Module Confers the Trade‐Off between Phenotypic Mean and Plasticity of Grain Chalkiness in Rice","year":2025,"lang":"en","type":"article","venue":"Advanced Science","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Science and Technology Major Project; Earmarked Fund for China Agriculture Research System; National Key Research and Development Program of China; Institute of Genetics; National Natural Science Foundation of China","keywords":"Natural (archaeology); Plasticity; Phenotypic plasticity; Agricultural engineering; Materials science; Biology; Agronomy; Composite material; Engineering; Ecology; Paleontology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002553767,0.00007281964,0.0001087693,0.00002265156,0.0001828019,0.00002802758,0.0002923717,0.00002043924,0.000006168263],"category_scores_gemma":[0.0001644255,0.00002526902,0.00001804891,0.0009141254,0.0003371943,0.0001867602,0.0000719064,0.00009092585,3.794643e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002121534,"about_ca_system_score_gemma":0.00001638873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000766402,"about_ca_topic_score_gemma":0.0002613691,"domain_scores_codex":[0.9992385,0.00002482924,0.000156642,0.0002262654,0.0001701203,0.0001836764],"domain_scores_gemma":[0.9996073,0.0002190285,0.00005979253,0.00004119283,0.00004015998,0.00003256999],"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":[0.00001466172,0.0000293203,0.005914513,0.000009283952,0.000002666255,2.393463e-7,0.0002801324,0.00002213624,0.8630545,0.003581951,0.000009856986,0.1270807],"study_design_scores_gemma":[0.0002192682,0.00004814729,0.9614641,0.0000281644,0.000003456845,2.274004e-7,0.0008365251,0.0005382104,0.03531443,0.0009645633,0.0005101549,0.0000727641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962441,0.0001078946,0.00004123514,0.002885507,0.00009162728,0.0001987126,0.000006176052,0.00001152115,0.0004131783],"genre_scores_gemma":[0.99945,0.0000128981,0.00009029509,0.0003212247,0.00001393326,0.000009217381,0.000002147091,2.28718e-7,0.0001001102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9555496,"threshold_uncertainty_score":0.1405983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326026739640679,"score_gpt":0.2468279402806723,"score_spread":0.2335676728842656,"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."}}