{"id":"W4396862219","doi":"10.1038/s41477-024-01700-4","title":"Molecular-level carbon traits underlie the multidimensional fine root economics space","year":2024,"lang":"en","type":"article","venue":"Nature Plants","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Vetenskapsrådet; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Carbon fibers; Root (linguistics); Biology; Soil carbon; Botany; Ecology; Materials science; Soil water","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001460632,0.0001546368,0.000139351,0.00001409948,0.00009846518,0.00006002761,0.000200376,0.0002529599,0.00004375813],"category_scores_gemma":[0.00002527073,0.00004831058,0.00008376109,0.0001360794,0.00002696092,0.00005387317,0.00004608539,0.0004649599,0.00003855629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000154248,"about_ca_system_score_gemma":0.0000187775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004573029,"about_ca_topic_score_gemma":0.001268427,"domain_scores_codex":[0.9991254,0.00003593765,0.0001243892,0.0002942208,0.00015834,0.0002617492],"domain_scores_gemma":[0.9995697,0.0002593115,0.0000299129,0.00004527681,0.0000178741,0.00007799931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001558445,0.0001572644,0.001031886,0.00001730054,0.0001823633,0.0003062659,0.0001984862,0.0001223718,0.6772624,0.06007577,0.0184635,0.2420266],"study_design_scores_gemma":[0.0001860877,0.00004362089,0.1127039,0.0000592782,0.00003287285,0.0001224776,0.00003906877,0.0008719723,0.02444577,0.001340813,0.8598798,0.0002743521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812413,0.01050595,0.000001150919,0.004930319,0.0007659948,0.0001466446,0.0005854974,0.00007231727,0.001750824],"genre_scores_gemma":[0.9979235,0.0002822209,0.00003334061,0.0004136097,0.0003871411,0.000005924696,0.0001984679,0.000001585987,0.0007542178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8414163,"threshold_uncertainty_score":0.2020045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795787946757002,"score_gpt":0.2168871443693972,"score_spread":0.1989292649018271,"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."}}