{"id":"W4413818531","doi":"10.1016/j.agwat.2025.109782","title":"Microclimate, soil moisture and forage yield vary spatially within a temperate tree-based intercropping system: From competition to facilitation","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Agroforestry and silvopastoral systems","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université du Québec en Outaouais","funders":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Intercropping; Microclimate; Temperate climate; Environmental science; Competition (biology); Forage; Facilitation; Agronomy; Agroforestry; Ecology; Biology","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":[0.0002024506,0.0001633863,0.000290916,0.0002621308,0.0003557283,0.0003405251,0.0002723693,0.0001814255,0.0004386688],"category_scores_gemma":[0.0002239342,0.0001385456,0.0001616651,0.0001732825,0.0003831226,0.000243702,0.0004268763,0.0002546053,0.00006599259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005194281,"about_ca_system_score_gemma":0.0002786163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064358,"about_ca_topic_score_gemma":0.03273666,"domain_scores_codex":[0.9998292,0.00002642026,0.000008804626,0.00007397828,0.00002247577,0.00003910222],"domain_scores_gemma":[0.9996629,0.00003850244,0.00009537792,0.00003477723,0.00004660707,0.0001218946],"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":[0.0009287563,0.0006017951,0.3595161,0.00008854174,0.0001394631,0.0002340338,0.001489011,0.0004315566,0.6268093,0.0001130817,0.0001413029,0.009507099],"study_design_scores_gemma":[0.000003921328,0.0001996895,0.9974412,0.000001558405,0.00001475351,0.00004331044,0.0002909999,0.000463249,0.001383809,0.00001834024,0.0001351998,0.000004033107],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998446,0.00001648948,0.00006005165,0.000002574579,3.020592e-7,0.000002514416,0.00001531354,0.000002334236,0.00005583983],"genre_scores_gemma":[0.9996785,0.00001403582,0.0001496923,0.000006321994,6.817363e-7,0.000005801416,0.00005739969,0.000001295988,0.00008626638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01064358,"threshold_uncertainty_score":0.02116323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006088138210936,"score_gpt":0.1875712684839279,"score_spread":0.1775103871018185,"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."}}