{"id":"W2564893059","doi":"","title":"Tree Roots in Agroforestry: Evaluating Biomass and Distribution with Ground Penetrating Radar","year":2013,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Biomass (ecology); Agroforestry; Distribution (mathematics); Environmental science; Ground-penetrating radar; Tree (set theory); Forestry; Geography; Ecology; Radar; Biology; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001917281,0.000185546,0.0001544994,0.0007798913,0.0003354272,0.0003949917,0.0001526907,0.0001779429,0.0003821496],"category_scores_gemma":[0.0002946873,0.000121517,0.00005390128,0.000542401,0.000228444,0.000187817,0.0002084096,0.0001086927,0.0001217264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005006305,"about_ca_system_score_gemma":0.0002798895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0659236,"about_ca_topic_score_gemma":0.2163342,"domain_scores_codex":[0.9999166,0.00001035489,0.000003848546,0.00002397422,0.00002349647,0.00002178934],"domain_scores_gemma":[0.9998518,0.00003734505,0.00003181031,0.000007109248,0.00004789715,0.00002390382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004255447,0.00008446748,0.7397512,0.0001367343,0.00003843441,0.0007000995,0.003603276,0.0006410006,0.2119024,0.00008684345,0.00007228925,0.04255762],"study_design_scores_gemma":[0.000002203511,0.00006411832,0.9961821,0.000005016032,0.000008307753,0.000165761,0.001012553,0.0003140983,0.002060735,0.0000187867,0.000163867,0.000002476461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994556,0.00008441997,0.0001764,0.000001915992,1.883379e-7,0.000004219152,0.00004202096,0.000001957497,0.0002332921],"genre_scores_gemma":[0.9989052,0.0001318323,0.0005503257,0.000004533749,3.821188e-7,0.000003501248,0.00005715402,0.00000166873,0.0003454292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0659236,"threshold_uncertainty_score":0.1310798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869580099399575,"score_gpt":0.2947959160160608,"score_spread":0.276100115022065,"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."}}