{"id":"W7019272595","doi":"","title":"Fine root dynamics for three distinct Northern Ontario forests : a comparison of approaches used to estimate fine root biomass, productivity, and turnover","year":2012,"lang":"en","type":"dissertation","venue":"Knowledge Commons (Lakehead University)","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Temperate climate; Taiga; Boreal; Biomass (ecology); Temperate forest; Carbon sequestration; Temperate rainforest; Carbon stock; Abies balsamea","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003073929,0.0002192047,0.0001694519,0.0006159877,0.001277459,0.0005572734,0.0002885498,0.0001673001,0.0006198812],"category_scores_gemma":[0.0005427002,0.0001577956,0.0001772322,0.000892266,0.0003355025,0.0002278192,0.0003342193,0.0001339501,0.0001162634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006590221,"about_ca_system_score_gemma":0.004000358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9190151,"about_ca_topic_score_gemma":0.9879451,"domain_scores_codex":[0.9998695,0.000007705297,0.000006777281,0.00002688705,0.00006184143,0.00002724652],"domain_scores_gemma":[0.9995952,0.0000636326,0.00007518904,0.00001709202,0.0001912348,0.00005762251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003612611,0.00005947141,0.9276649,0.0001746319,0.00006185428,0.0002728548,0.004780087,0.00133147,0.02400244,0.0002811837,0.0004171186,0.04059269],"study_design_scores_gemma":[0.000004435123,0.00001595889,0.9972166,0.000008202593,0.00001464425,0.00003261688,0.0006509223,0.0006358688,0.0007563836,0.00003161014,0.0006265873,0.000006108003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975215,0.0001914407,0.0002444224,0.00001446277,7.402909e-7,0.00001976169,0.0005265935,0.000005720615,0.001475396],"genre_scores_gemma":[0.9953186,0.0004155159,0.001307191,0.0000169596,0.000001405482,0.00003006107,0.001060734,0.000006165464,0.00184337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08098489,"threshold_uncertainty_score":0.1629236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0502553499986728,"score_gpt":0.2624054470574554,"score_spread":0.2121500970587826,"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."}}