{"id":"W2066626095","doi":"10.1007/s10457-010-9342-7","title":"Intercropping hybrid poplar with soybean increases soil microbial biomass, mineral N supply and tree growth","year":2010,"lang":"en","type":"article","venue":"Agroforestry Systems","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Université Laval","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Intercropping; Mulch; Agronomy; Abutilon; Biomass (ecology); Mineralization (soil science); Hardwood; Alfisol; Nutrient; Multipurpose tree; Sowing; Biology; Environmental science; Soil water; Botany; Woody plant; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002634404,0.0005371757,0.0005329771,0.0004435921,0.0003435017,0.0006163018,0.0004634002,0.0004028474,0.001263301],"category_scores_gemma":[0.00030905,0.0003289447,0.000233476,0.0004089099,0.0003704175,0.0005880909,0.0006973403,0.0007270306,0.0001926504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008100866,"about_ca_system_score_gemma":0.0006620207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005817052,"about_ca_topic_score_gemma":0.01995646,"domain_scores_codex":[0.9996827,0.00005173677,0.00001603651,0.0001251835,0.00004992036,0.00007436296],"domain_scores_gemma":[0.9991779,0.0001516765,0.0001488543,0.0000403608,0.00004228904,0.0004388657],"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":[0.002501753,0.0007056881,0.009183191,0.00009163856,0.0001325097,0.0001286834,0.0001327258,0.0003204817,0.9809338,0.00008730522,0.00004425013,0.00573788],"study_design_scores_gemma":[0.0003183048,0.008526364,0.6862673,0.00005330319,0.0006183612,0.0008023501,0.001280089,0.007938284,0.2908808,0.0006289408,0.002627593,0.00005836183],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999466,0.0001323953,0.0001457655,0.000009867468,0.000003054602,0.000002617807,0.00001717494,0.00001279436,0.0002102517],"genre_scores_gemma":[0.9986894,0.0001194449,0.0004928948,0.00002935119,0.0000035602,0.000006502261,0.0001049318,0.000008520172,0.0005454101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005817052,"threshold_uncertainty_score":0.0115664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008685486496773186,"score_gpt":0.1878303211595028,"score_spread":0.1791448346627296,"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."}}