{"id":"W2512273907","doi":"10.1007/s11104-016-3015-x","title":"Interspecific variation of tree root architecture in a temperate agroforestry system characterized using ground-penetrating radar","year":2016,"lang":"en","type":"article","venue":"Plant and Soil","topic":"Seedling growth and survival studies","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Intercropping; Interspecific competition; Root system; Competition (biology); Temperate climate; Environmental science; Tree (set theory); Biology; Agronomy; Botany; Agroforestry; Ecology; Mathematics","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":[0.0003878603,0.0002197687,0.000332306,0.000825116,0.0004650692,0.0003833733,0.0003107799,0.0002404782,0.0005884921],"category_scores_gemma":[0.0005145834,0.0002181921,0.0001654362,0.0005546467,0.0006005178,0.0002519841,0.0003976886,0.000251273,0.0001358085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000381019,"about_ca_system_score_gemma":0.0002098539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00552473,"about_ca_topic_score_gemma":0.02043191,"domain_scores_codex":[0.9996485,0.0001037357,0.00002094162,0.0001196654,0.00004167166,0.00006544752],"domain_scores_gemma":[0.9993411,0.0002212899,0.0001390383,0.00007869954,0.00006338787,0.0001565597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001285659,0.0005267044,0.8408166,0.00002865545,0.0001929888,0.0005712167,0.002363235,0.0002758641,0.1488283,0.0001314163,0.00004331744,0.004936056],"study_design_scores_gemma":[0.000004037498,0.0001211166,0.9987404,7.97999e-7,0.00001461216,0.000153188,0.0003058947,0.0001667951,0.0004427686,0.00001482459,0.00003240713,0.000003144934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9999171,0.00000680626,0.0000232297,5.046589e-7,2.308096e-7,7.480709e-7,0.00001036445,6.510444e-7,0.0000402649],"genre_scores_gemma":[0.9998314,0.000007527143,0.00004843456,0.000001811084,5.419698e-7,0.000001768008,0.00003323802,0.000001192277,0.00007402855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00552473,"threshold_uncertainty_score":0.01098514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494081941646482,"score_gpt":0.1974849105358195,"score_spread":0.1825440911193547,"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."}}