{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001042212,0.0002439926,0.0002345583,0.0002629554,0.000131482,0.0002852067,0.00008315897,0.0001591975,0.0005612893],"category_scores_gemma":[0.0001284463,0.0001485468,0.0001867635,0.0001473032,0.0001530735,0.0001926018,0.0003150432,0.0002483586,0.0002101987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002255331,"about_ca_system_score_gemma":0.0001805935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008612248,"about_ca_topic_score_gemma":0.001412472,"domain_scores_codex":[0.9999045,0.00001032436,0.000006204466,0.00003938346,0.00001622193,0.00002340753],"domain_scores_gemma":[0.9998782,0.00001544699,0.00005259182,0.00001057542,0.00001483094,0.0000284906],"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":[0.0000646325,0.000006168726,0.002238133,0.00001270424,0.000003196385,0.00001778265,0.00002471876,0.00001780768,0.9968666,0.00001077076,0.000009604913,0.0007277456],"study_design_scores_gemma":[0.00002639395,0.0003402478,0.6242675,0.0000140148,0.00005674253,0.0003667267,0.0003720812,0.001573212,0.3711157,0.0001535142,0.001687186,0.0000265678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986161,0.0003192233,0.0004432568,0.00001949603,0.000003545854,0.000003647135,0.0002177252,0.00003886992,0.0003382547],"genre_scores_gemma":[0.9974362,0.0001988957,0.0008301744,0.00003389917,0.000003486979,0.000007160407,0.000540413,0.00001838569,0.0009313331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008612248,"threshold_uncertainty_score":0.001877725,"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."}}