{"id":"W3042755493","doi":"10.1016/j.agrformet.2020.108104","title":"Coherent responses of terrestrial C:N stoichiometry to drought across plants, soil, and microorganisms in forests and grasslands","year":2020,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"National Key Research and Development Program of China; Nanjing Forestry University","keywords":"Biogeochemical cycle; Ecosystem; Terrestrial ecosystem; Environmental science; Biomass (ecology); Litter; Microorganism; Grassland; Forest ecology; Agronomy; Ecology; Environmental chemistry; Biology; Chemistry; Bacteria","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":[0.0001491697,0.0001985077,0.0003754139,0.00002172688,0.00009500705,0.00004022466,0.0001257678,0.0001673867,0.00000733509],"category_scores_gemma":[0.00009982556,0.00007449029,0.00004158634,0.0003194534,0.0001166281,0.00007734788,0.0002049682,0.0001395672,0.000001855905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007886866,"about_ca_system_score_gemma":0.000004226231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006294763,"about_ca_topic_score_gemma":0.01665705,"domain_scores_codex":[0.9988049,0.0001014523,0.000280561,0.0003710015,0.0001126143,0.0003294879],"domain_scores_gemma":[0.9993692,0.000265425,0.00008448185,0.00003326129,0.00002161051,0.0002260022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009131557,0.00004566532,0.6534511,0.00001696811,0.00003155567,0.00001429195,0.0009549632,0.000005416341,0.3347364,0.0001311732,0.0001823384,0.009517011],"study_design_scores_gemma":[0.0006589602,0.001148802,0.9919201,0.00001094467,0.00001426522,0.00007583444,0.0007976444,0.0001085414,0.004508849,0.000229244,0.0003396839,0.000187174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969037,0.0006335615,8.884297e-7,0.001996553,0.00007484844,0.0002411501,0.0000972789,0.00002453248,0.00002748351],"genre_scores_gemma":[0.9991924,0.0001767791,0.00005184436,0.0003636212,0.0001273021,0.00001289384,0.00005316642,0.000001485747,0.00002053444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.338469,"threshold_uncertainty_score":0.9295023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665736936046337,"score_gpt":0.2317575033306824,"score_spread":0.215100133970219,"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."}}