{"id":"W2755613974","doi":"10.1007/s11104-017-3407-6","title":"Species and root traits impact macroaggregation in the rhizospheric soil of a Mediterranean common garden experiment","year":2017,"lang":"en","type":"article","venue":"Plant and Soil","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval; Centre de Géomatique du Québec","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Biomass (ecology); Mediterranean climate; Chemistry; Lignin; Bulk soil; Monoculture; Root system; Soil water; Botany; Agronomy; Biology; Ecology; Soil organic matter","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":[0.0001609094,0.0000812645,0.0001308769,0.000004506767,0.0001505266,0.00008349621,0.0001398113,0.00004320057,0.00002120098],"category_scores_gemma":[0.00001389476,0.00002635348,0.00003325391,0.00002696007,0.00008708257,0.00006564511,0.00003449894,0.00005640321,5.105404e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006068647,"about_ca_system_score_gemma":0.000002461104,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002208679,"about_ca_topic_score_gemma":0.02144244,"domain_scores_codex":[0.9995171,0.00003852033,0.000107124,0.0001028176,0.0001204731,0.0001139887],"domain_scores_gemma":[0.9997531,0.00008044048,0.0000797793,0.00004234007,0.000008677789,0.00003572172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002988575,0.00017503,0.7436917,0.00002945736,0.00004038664,0.00003761842,0.01145596,0.000003742322,0.0759872,0.0004459828,0.0003526409,0.1674814],"study_design_scores_gemma":[0.0001836626,0.0001363488,0.9957689,0.00002341039,0.000006570609,0.00002012837,0.0009825662,0.001336228,0.001191611,0.0001528941,0.0001228244,0.00007483154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975516,0.0005031072,3.838987e-8,0.0004191257,0.00003573511,0.00008790542,0.00004163824,0.000006073858,0.001354768],"genre_scores_gemma":[0.9996063,0.0001960696,0.000002773922,0.000036519,0.00009769174,0.000007299089,0.00002689741,4.80809e-7,0.00002595785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2520772,"threshold_uncertainty_score":0.9964137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829836505251327,"score_gpt":0.2458235000422454,"score_spread":0.2175251349897321,"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."}}