{"id":"W2997602942","doi":"10.1111/gcb.14973","title":"Variation and evolution of C:N ratio among different organs enable plants to adapt to N‐limited environments","year":2019,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":268,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Biology; Temperate climate; Ecosystem; Specific leaf area; Divergence (linguistics); Variation (astronomy); Botany; Taxon; Nitrogen; Ecology; Photosynthesis; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007382354,0.00009145954,0.0001411415,0.00002676676,0.00005386538,0.000002690959,0.00007719508,0.00009078587,0.0002116355],"category_scores_gemma":[0.00002164168,0.00008041292,0.00001286784,0.00009484394,0.00005983198,0.00006245583,0.0001911221,0.00003012095,0.0002720961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002320186,"about_ca_system_score_gemma":0.000002063452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000660172,"about_ca_topic_score_gemma":0.001298176,"domain_scores_codex":[0.9993398,0.00005248312,0.000127223,0.0002386298,0.00006084693,0.0001810699],"domain_scores_gemma":[0.9997504,0.00002328523,0.00005865728,0.0001022549,0.00000371434,0.00006170724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002896294,0.00003480903,0.9906945,0.000002969579,0.00001368973,2.275668e-7,0.0006612655,0.00005642731,0.007445491,0.0007193983,0.00006857713,0.0002737082],"study_design_scores_gemma":[0.0002045454,0.0002652671,0.9976796,0.000004110488,0.000008026052,9.160053e-7,0.0001050869,0.0006897227,0.00008676926,0.0005987165,0.0002748373,0.00008240633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955696,0.00003633041,0.00253822,0.0003003311,0.0002062197,0.0004245572,0.00005828686,0.000009944632,0.0008564842],"genre_scores_gemma":[0.9993531,0.00002134455,0.0001676772,0.0002093753,0.00002001982,0.00003870498,0.00002317196,0.000002904804,0.0001637105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007358721,"threshold_uncertainty_score":0.3497336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159444429849528,"score_gpt":0.2168463131980364,"score_spread":0.2052518688995411,"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."}}