{"id":"W4409666971","doi":"10.1016/j.cell.2025.03.033","title":"Root microbiota regulates tiller number in rice","year":2025,"lang":"en","type":"article","venue":"Cell","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Shenzhen Science and Technology Innovation Program; European Research Council; University of North Carolina at Chapel Hill; Sun Yat-sen University; Ministry of Education, India; Max-Planck-Gesellschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministerie van Onderwijs, Cultuur en Wetenschap; National Natural Science Foundation of China; China Academy of Chinese Medical Sciences; Chinese Academy of Sciences; Sun Yat-sen University Cancer Center; Ministry of Education of the People's Republic of China; Canadian Anesthesiologists' Society","keywords":"Biology; Tiller (botany); Root (linguistics); Genetics; Botany","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":[0.00008180261,0.00008262097,0.00009649513,0.000008720239,0.00005092511,0.00002974727,0.000186736,0.00008419248,0.0006894239],"category_scores_gemma":[0.00001544758,0.00003191221,0.00004966136,0.0003995058,0.00002520008,0.00003909861,0.00006907686,0.00008102431,0.0004616686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002793805,"about_ca_system_score_gemma":0.00000487239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000281223,"about_ca_topic_score_gemma":0.0003175784,"domain_scores_codex":[0.9994037,0.00003290566,0.0001199842,0.0002018425,0.00004945396,0.0001921315],"domain_scores_gemma":[0.9997876,0.00007949187,0.00003510682,0.0000503607,0.00002103012,0.00002639496],"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":[0.000004465663,0.00005393039,0.03084331,0.000005960419,0.000002729132,0.000001970607,0.00002226985,8.17239e-8,0.9580024,0.00002872352,0.01037236,0.0006618122],"study_design_scores_gemma":[0.0001052742,0.000009284034,0.3584555,0.00001769475,0.000004607108,0.000001008557,0.00003710955,0.000002016871,0.6249939,0.0003292224,0.01594616,0.00009819956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565916,0.0001511895,6.104973e-8,0.001024459,0.0001169945,0.00007714458,0.000004917536,0.00003678323,0.04199686],"genre_scores_gemma":[0.9857717,0.000003290402,0.00005192212,0.0003194966,0.00003999015,0.000004586035,0.00001220313,4.644398e-7,0.01379633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3330085,"threshold_uncertainty_score":0.7548708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007088272560145422,"score_gpt":0.2043397046505943,"score_spread":0.1972514320904488,"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."}}